Page last updated: 2024-08-04 05:56:49
rvx 208
Description
apabetalone: a bromodomain and extra-terminal domain protein (BET) inhibitor; prevents interactions between BET proteins and acetyl-lysine residues on histone tails to modify epigenetic regulation [MeSH]
Cross-References
ID Source | ID |
PubMed CID | 135564749 |
SCHEMBL ID | 145019 |
SCHEMBL ID | 17002023 |
MeSH ID | M0547663 |
Synonyms (63)
Synonym |
AKOS016008772 |
1044870-39-4 |
rvx-208 |
rvx208 |
apabetalone [usan:inn] |
apabetalone [inn] |
8r4a7gdz1d , |
2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxy-4(1h)-quinazolinone |
unii-8r4a7gdz1d |
apabetalone |
rvx000222 |
2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3h)-one |
rvx 208 |
rvx 000222 |
rvx-000222 |
QC-216 , |
4MR6 |
4MR4 |
S7295 |
gtpl7034 |
2-[4-(2-hydroxyethoxy)-3,5-dimethylphenyl]-5,7-dimethoxy-1,4-dihydroquinazolin-4-one |
2-[4-(2-hydroxy-ethoxy)-3,5-dimethyl-phenyl]-5,7-dimethoxy-3h-quinazolin-4-one |
NETXMUIMUZJUTB-UHFFFAOYSA-N |
2-[4-(2-hydroxyethoxy)-3,5-dimethylphenyl]-5,7-dimethoxyquinazolin-4(3h)-one |
1k0 , |
CS-3239 |
HY-16652 |
SCHEMBL145019 |
apabetalone [who-dd] |
apabetalone [usan] |
AC-28201 |
c20h22n2o5 |
DTXSID90146502 |
4J3I |
4J1P |
SCHEMBL17002023 |
2-[4-(2-hydroxyethoxy)-3,5-dimethylphenyl]-5,7-dimethoxy-3h-quinazolin-4-one |
mfcd18633270 |
BP-23380 |
J-001182 |
AKOS026750505 |
EX-A1110 |
HMS3653C10 |
2-[4-(2-hydroxyethoxy)-3,5-dimethylphenyl]-5,7-dimethoxy-3,4-dihydroquinazolin-4-one |
EN300-7408723 |
NCGC00356073-09 |
SW219327-1 |
DB12000 |
BCP07787 |
rvx-208(rvx-000222) |
AS-35133 |
Q21099554 |
SB17171 |
HMS3886D13 |
HMS3744M09 |
CCG-268298 |
D11131 |
apabetalone (usan/inn) |
2-[4-(2-hydroxyethoxy)-3,5-dimethylphenyl]-5,7-dimethoxy-1h-quinazolin-4-one |
2-[4-(2-hydroxyethoxy)-3,5-dimethyl-phenyl]-5,7-dimethoxy-3h-quinazolin-4-one |
nsc771600 |
nsc-771600 |
NCGC00356073-11 |
Protein Targets (11)
Potency Measurements
Inhibition Measurements
Activation Measurements
Bioassays (254)
Assay ID | Title | Year | Journal | Article |
AID977608 | Experimentally measured binding affinity data (IC50) for protein-ligand complexes derived from PDB | 2013 | PloS one, , Volume: 8, Issue:12 ISSN: 1932-6203 | RVX-208, an inducer of ApoA-I in humans, is a BET bromodomain antagonist. |
AID1280142 | Binding affinity to human BRD4 bromodomain 2 by isothermal titration calorimetry | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | New Synthetic Routes to Triazolo-benzodiazepine Analogues: Expanding the Scope of the Bump-and-Hole Approach for Selective Bromo and Extra-Terminal (BET) Bromodomain Inhibition. |
AID752924 | Drug metabolism in human liver microsomes assessed as M5 metabolite level at 100 uM after 4 hrs by LC/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1674518 | Binding affinity to N-terminal His-tagged BRD4 BD2 (unknown origin) by isothermal calorimetric titration assay | 2020 | Journal of medicinal chemistry, 09-10, Volume: 63, Issue:17 ISSN: 1520-4804 | Design and Synthesis of a Highly Selective and |
AID752992 | Drug metabolism in Beagle dog liver microsomes assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1594410 | Antiproliferative activity against human A375 cells assessed as reduction in cell growth measured after 48 hrs by MTT assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID752965 | Drug metabolism in cynomolgus monkey liver S9 fraction assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1547273 | Inhibition of HDAC2 (unknown origin) using biotinylated histone H3 KAc peptide (1 to 21 residues) as substrate by HTRF assay | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID1280140 | Binding affinity to human BRD2 bromodomain 2 by isothermal titration calorimetry | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | New Synthetic Routes to Triazolo-benzodiazepine Analogues: Expanding the Scope of the Bump-and-Hole Approach for Selective Bromo and Extra-Terminal (BET) Bromodomain Inhibition. |
AID1375119 | Selectivity ratio of IC50 for 6H-Thr BRD4 Y390A mutant BD1 (unknown origin) to IC50 for 6H-Thr BRD4 Y97A mutant BD2 (unknown origin) | 2018 | Journal of medicinal chemistry, 05-24, Volume: 61, Issue:10 ISSN: 1520-4804 | Discovery of Tetrahydroquinoxalines as Bromodomain and Extra-Terminal Domain (BET) Inhibitors with Selectivity for the Second Bromodomain. |
AID1513798 | Inhibition of human 6x-His-tagged BRD2 bromodomain 2 expressed in Escherichia coli | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor. |
AID752938 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per 4 mg/ml of protein at 2 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1368373 | Cytotoxicity against human HepG2 cells assessed as reduction in cell viability after 3 days by CellTiter-Glo assay | 2018 | Bioorganic & medicinal chemistry, 01-01, Volume: 26, Issue:1 ISSN: 1464-3391 | Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors. |
AID1357987 | Inhibition of BRD4 in human SAE cells assessed as reduction in TLR3 agonist poly(I:C) -induced ISG54 RNA expression preincubated for 24 hrs followed by poly(I:C) addition and measured after 4 hrs by SYBR green dye-based qRT-PCR analysis | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID752964 | Drug metabolism in cynomolgus monkey liver S9 fraction assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1460669 | Inhibition of recombinant human His6-tagged BRD2 bromodomain 1 expressed in Escherichia coli BL21(DE3)-R3-pRARE2 cells | 2017 | Journal of medicinal chemistry, 06-08, Volume: 60, Issue:11 ISSN: 1520-4804 | Drug Discovery Targeting Bromodomain-Containing Protein 4. |
AID1357989 | Inhibition of BRD4 in human SAE cells assessed as reduction in TLR3 agonist poly(I:C) -induced IL-8 RNA expression preincubated for 24 hrs followed by poly(I:C) addition and measured after 4 hrs by SYBR green dye-based qRT-PCR analysis | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID752991 | Drug metabolism in cynomolgus monkey liver microsomes assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1606742 | Binding affinity to recombinant BRD2 BD1 (unknown origin) incubated for 1 hr by TR-FRET assay | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID1462220 | Inhibition of human BRD4 bromo domain 1 | 2017 | Bioorganic & medicinal chemistry letters, 09-01, Volume: 27, Issue:17 ISSN: 1464-3405 | Structure-based design, synthesis and in vitro antiproliferative effects studies of novel dual BRD4/HDAC inhibitors. |
AID1280139 | Binding affinity to human BRD2 bromodomain 1 by isothermal titration calorimetry | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | New Synthetic Routes to Triazolo-benzodiazepine Analogues: Expanding the Scope of the Bump-and-Hole Approach for Selective Bromo and Extra-Terminal (BET) Bromodomain Inhibition. |
AID1827533 | Cytotoxicity against human CCRF-CEM cells assessed as reduction in cell viability incubated for 72 hrs | 2022 | Journal of medicinal chemistry, 04-14, Volume: 65, Issue:7 ISSN: 1520-4804 | CRCM5484: A BET-BDII Selective Compound with Differential Anti-leukemic Drug Modulation. |
AID1460670 | Inhibition of recombinant human His6-tagged BRD3 bromodomain 2 expressed in Escherichia coli BL21(DE3)-R3-pRARE2 cells | 2017 | Journal of medicinal chemistry, 06-08, Volume: 60, Issue:11 ISSN: 1520-4804 | Drug Discovery Targeting Bromodomain-Containing Protein 4. |
AID752969 | Drug metabolism in Beagle dog liver S9 fraction assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752974 | Drug metabolism in calf liver microsomes assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1460620 | Inhibition of recombinant human His6-tagged BRD4 bromodomain 2 expressed in Escherichia coli BL21(DE3)-R3-pRARE2 cells preincubated for 30 mins followed by HSGRGK(Ac)GGK(Ac)GLGK(Ac)GGAK(Ac)RHRK(Biotin)-OH peptide substrate addition after 30 mins by alphas | 2017 | Journal of medicinal chemistry, 06-08, Volume: 60, Issue:11 ISSN: 1520-4804 | Drug Discovery Targeting Bromodomain-Containing Protein 4. |
AID1357990 | Inhibition of BRD4 in human SAE cells assessed as reduction in TLR3 agonist poly(I:C) -induced grobeta RNA expression preincubated for 24 hrs followed by poly(I:C) addition and measured after 4 hrs by SYBR green dye-based qRT-PCR analysis | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID752961 | Drug metabolism in Sprague-Dawley rat liver S9 fraction assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1606748 | Binding affinity to recombinant CBP (unknown origin) incubated for 1 hr by TR-FRET assay | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID752989 | Drug metabolism in cynomolgus monkey liver microsomes assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752977 | Drug metabolism in human liver microsomes assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752932 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per 4 mg/ml of protein at 0.5 mM after 24 hrs by LC-MS/MS analysis in presence of 25 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1357995 | Inhibition of BRD3 BD1 (unknown origin) after 1 hr by TR-FRET assay | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1547245 | Inhibition of GST-tagged BRD4 bromodomain (unknown origin) using biotinylated histone H4KAc peptide (1 to 21 residues) as substrate by HTRF assay | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID1594415 | Antifibrotic activity against human LX2 cells assessed as reduction in cell growth measured after 48 hrs by MTT assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1357993 | Inhibition of BRD2 BD1 (unknown origin) after 1 hr by TR-FRET assay | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID752981 | Drug metabolism in New Zealand White rabbit liver microsomes assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1460619 | Inhibition of recombinant human His6-tagged BRD4 bromodomain 1 expressed in Escherichia coli BL21(DE3)-R3-pRARE2 cells preincubated for 30 mins followed by H4K5acK8acK12acK16ac peptide substrate addition after 30 mins by alphascreen assay | 2017 | Journal of medicinal chemistry, 06-08, Volume: 60, Issue:11 ISSN: 1520-4804 | Drug Discovery Targeting Bromodomain-Containing Protein 4. |
AID752933 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per 4 mg/ml of protein at 2 mM after 24 hrs by LC-MS/MS analysis in presence of 25 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1594407 | Antiproliferative activity against human A549 cells assessed as reduction in cell growth measured after 48 hrs by MTT assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1358022 | Anti-inflammatory activity in poly(I:C)-induced airway inflammation C57BL/6 mouse model assessed as reduction in mISG54 expression in lung at 10 mg/kg, ip administered 1 day prior to poly(I:C) stimulation and redosed on day 2 followed by poly(I:C) stimula | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1286397 | Inhibition of human His-tagged BRD3 bromodomain 2 using biotin-H4K5acK8acK12acK16ac as substrate incubated for 30 mins by alphascreen assay | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | Discovery of Benzo[cd]indol-2(1H)-ones as Potent and Specific BET Bromodomain Inhibitors: Structure-Based Virtual Screening, Optimization, and Biological Evaluation. |
AID1477997 | Induction of autophagy in GFP/mRFP treated human MCF7 cells assessed as induction of LC3 puncta at 150 uM by fluorescence microscopic analysis | 2017 | Journal of medicinal chemistry, 12-28, Volume: 60, Issue:24 ISSN: 1520-4804 | Discovery of a Small-Molecule Bromodomain-Containing Protein 4 (BRD4) Inhibitor That Induces AMP-Activated Protein Kinase-Modulated Autophagy-Associated Cell Death in Breast Cancer. |
AID752993 | Drug metabolism in Beagle dog liver microsomes assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752955 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1318696 | Cytotoxicity against human HL60 cells assessed as decrease in cell viability after 24 hrs by MTT assay | 2016 | European journal of medicinal chemistry, Oct-04, Volume: 121ISSN: 1768-3254 | Development of 4,5-dihydro-benzodiazepinone derivatives as a new chemical series of BRD4 inhibitors. |
AID1513833 | Inhibition of BRD4 bromodomain 2 in human A549 cells assessed as reduction in TNFalpha-induced IL8 levels at 1 uM after 24 hrs by ELISA relative to control | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor. |
AID752973 | Drug metabolism in Yucatan minipig liver microsomes assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1827504 | Inhibition of BRD4-BD1 (unknown origin) assessed as dissociation constant by ITC method | 2022 | Journal of medicinal chemistry, 04-14, Volume: 65, Issue:7 ISSN: 1520-4804 | CRCM5484: A BET-BDII Selective Compound with Differential Anti-leukemic Drug Modulation. |
AID752925 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per 20 mg of protein at 1 mM after 24 hrs by LC/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752983 | Drug metabolism in ICR/CD1 mouse liver microsomes assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1559490 | Displacement of tetra-acetylated histone H4 peptide from recombinant human N-terminal His-tagged BRD4 BD2 incubated for 2 hrs by TR-FRET assay | 2019 | Journal of medicinal chemistry, 12-26, Volume: 62, Issue:24 ISSN: 1520-4804 | Discovery of Benzo[ |
AID752954 | Drug metabolism in human liver S9 fraction assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1375174 | Binding affinity to human BRD3 BD2 by ITC method | 2018 | Journal of medicinal chemistry, 05-24, Volume: 61, Issue:10 ISSN: 1520-4804 | Discovery of Tetrahydroquinoxalines as Bromodomain and Extra-Terminal Domain (BET) Inhibitors with Selectivity for the Second Bromodomain. |
AID1368371 | Cytotoxicity against human BJ cells assessed as reduction in cell viability after 3 days by CellTiter-Glo assay | 2018 | Bioorganic & medicinal chemistry, 01-01, Volume: 26, Issue:1 ISSN: 1464-3391 | Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors. |
AID752951 | Drug metabolism in Yucatan minipig liver S9 fraction assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1827530 | Downregulation of Myc expression in human MOLM-14 cells incubated for 2 hrs by RT-PCR analysis | 2022 | Journal of medicinal chemistry, 04-14, Volume: 65, Issue:7 ISSN: 1520-4804 | CRCM5484: A BET-BDII Selective Compound with Differential Anti-leukemic Drug Modulation. |
AID752927 | Drug metabolism in calf liver microsomes assessed per 4 mg/ml of protein at 2 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1357992 | Inhibition of BRD4 BD2 (unknown origin) after 1 hr by TR-FRET assay | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1547271 | Inhibition of HDAC7 (unknown origin) using biotinylated histone H3 KAc peptide (1 to 21 residues) as substrate by HTRF assay | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID1559424 | Displacement of tetra-acetylated histone H4 peptide from recombinant human His-tagged BRD3 BD1 expressed in bacterial expression system by alphascreen assay | 2019 | Journal of medicinal chemistry, 12-26, Volume: 62, Issue:24 ISSN: 1520-4804 | Discovery of Benzo[ |
AID1547272 | Inhibition of HDAC6 (unknown origin) using biotinylated histone H3 KAc peptide (1 to 21 residues) as substrate by HTRF assay | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID1513797 | Inhibition of human 6x-His-tagged BRD2 bromodomain 1 expressed in Escherichia coli | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor. |
AID1559491 | Selectivity index, ratio of IC50 for recombinant human N-terminal His-tagged BRD4 BD2 to IC50 for recombinant human N-terminal His-tagged BRD4 BD1 by TR-FRET assay | 2019 | Journal of medicinal chemistry, 12-26, Volume: 62, Issue:24 ISSN: 1520-4804 | Discovery of Benzo[ |
AID1827505 | Inhibition of BRD4-BD2 (unknown origin) assessed as dissociation constant by ITC method | 2022 | Journal of medicinal chemistry, 04-14, Volume: 65, Issue:7 ISSN: 1520-4804 | CRCM5484: A BET-BDII Selective Compound with Differential Anti-leukemic Drug Modulation. |
AID752952 | Drug metabolism in human liver S9 fraction assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752940 | Drug metabolism in New Zealand White rabbit liver microsomes assessed per mg/ml of protein at 0.5 mM after 24 hrs by LC-MS/MS analysis in presence of 25 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1289236 | Binding affinity to BRD4 bromodomain 2 (unknown origin) by isothermal titration calorimetric analysis | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | Disrupting Acetyl-Lysine Recognition: Progress in the Development of Bromodomain Inhibitors. |
AID1318695 | Cytotoxicity against human U937 cells assessed as decrease in cell viability after 24 hrs by MTT assay | 2016 | European journal of medicinal chemistry, Oct-04, Volume: 121ISSN: 1768-3254 | Development of 4,5-dihydro-benzodiazepinone derivatives as a new chemical series of BRD4 inhibitors. |
AID1827532 | Cytotoxicity against human K562 cells assessed as reduction in cell viability incubated for 72 hrs | 2022 | Journal of medicinal chemistry, 04-14, Volume: 65, Issue:7 ISSN: 1520-4804 | CRCM5484: A BET-BDII Selective Compound with Differential Anti-leukemic Drug Modulation. |
AID752982 | Drug metabolism in New Zealand White rabbit liver microsomes assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752944 | Drug metabolism in New Zealand White rabbit liver microsomes assessed per mg/ml of protein at 0.2 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1375117 | Displacement of (+)-JQ1 from 6H-Thr BRD4 Y390A mutant BD1 (unknown origin) after 30 mins by TR-FRET assay | 2018 | Journal of medicinal chemistry, 05-24, Volume: 61, Issue:10 ISSN: 1520-4804 | Discovery of Tetrahydroquinoxalines as Bromodomain and Extra-Terminal Domain (BET) Inhibitors with Selectivity for the Second Bromodomain. |
AID1368370 | Cytotoxicity against human Loucy cells assessed as reduction in cell viability after 5 days by CellTiter-Glo assay | 2018 | Bioorganic & medicinal chemistry, 01-01, Volume: 26, Issue:1 ISSN: 1464-3391 | Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors. |
AID1559422 | Selectivity index, ratio of IC50 for recombinant human His-tagged BRD3 BD1 expressed in bacterial expression system to IC50 for recombinant human His-tagged BRD3 BD2 expressed in bacterial expression system | 2019 | Journal of medicinal chemistry, 12-26, Volume: 62, Issue:24 ISSN: 1520-4804 | Discovery of Benzo[ |
AID1513794 | Inhibition of human 6x-His-tagged BRD3 bromodomain 1 expressed in Escherichia coli | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor. |
AID752957 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752967 | Drug metabolism in Beagle dog liver S9 fraction assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1606736 | Inhibition of BRD4 in poly(I:C)-stimulated human SAECs TLR3-inducible CIG5 gene expression at 10 uM pre-incubated for 24 hrs before poly(I:C) stimulation for 4 hrs by qRT-PCR analysis relative to control | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID752987 | Drug metabolism in Sprague-Dawley rat liver microsomes assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1547284 | Effect on histone H3 expression level in human HCT116 cells measured after 24 hrs by Western blot analysis | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID752966 | Drug metabolism in cynomolgus monkey liver S9 fraction assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1845925 | Reversal of HIV-1 latency infected in GFP-fused human J-Lat C11 cells assessed as increase in GFP expression at 100 uM incubated for 72 hrs by flow cytometry | 2021 | European journal of medicinal chemistry, Mar-05, Volume: 213ISSN: 1768-3254 | HIV latency reversal agents: A potential path for functional cure? |
AID1358020 | Anti-inflammatory activity in poly(I:C)-induced airway inflammation C57BL/6 mouse model assessed as reduction in neutrophils recruitment into bronchoalveolar lavage fluid at 10 mg/kg, ip administered 1 day prior to poly(I:C) stimulation and redosed on day | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1368367 | Cytotoxicity against human NALM6 cells assessed as reduction in cell viability after 5 days by CellTiter-Glo assay | 2018 | Bioorganic & medicinal chemistry, 01-01, Volume: 26, Issue:1 ISSN: 1464-3391 | Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors. |
AID1547286 | Inhibition of BRD4 in human HCT116 cells assessed as reduction in C-myc level measured after 24 hrs by Western blot analysis | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID752986 | Drug metabolism in Sprague-Dawley rat liver microsomes assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1821724 | Binding affinity recombinant human BRD4 BD1 (42 to 168 residues) expressed in Escherichia coli BL21(DE3) incubated for 1 hr by TR-FRET assay | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID1318693 | Inhibition of human His-tagged BRD4 BD1 (49 to 170 residues) using H-SGRGK(Ac)GGK(Ac)GLGK-(Ac)GGAK(Ac)RHRK(Biotin)-OH as substrate preincubated for 30 mins followed by substrate addition measured after 30 mins by TR-FRET assay | 2016 | European journal of medicinal chemistry, Oct-04, Volume: 121ISSN: 1768-3254 | Development of 4,5-dihydro-benzodiazepinone derivatives as a new chemical series of BRD4 inhibitors. |
AID1513787 | Inhibition of human 6x-His-tagged BRD4 bromodomain 1 expressed in Escherichia coli | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor. |
AID1462223 | Antiproliferative activity against human OCI-AML3 cells after 72 hrs by MTT assay | 2017 | Bioorganic & medicinal chemistry letters, 09-01, Volume: 27, Issue:17 ISSN: 1464-3405 | Structure-based design, synthesis and in vitro antiproliferative effects studies of novel dual BRD4/HDAC inhibitors. |
AID1591814 | Antihyperlipidemic activity in po dosed Sprague-Dawley rat assessed as decrease in triglyceride level administered twice daily for 1 week measured 2 hrs post-last dose by GPO-PAP analysis relative to control | 2019 | Bioorganic & medicinal chemistry letters, 08-15, Volume: 29, Issue:16 ISSN: 1464-3405 | Design, synthesis and biological evaluation of hypolipidemic compounds based on BRD4 inhibitor RVX-208. |
AID1594419 | Selectivity index, ratio of IC50 for cytotoxicity against human LO2 cells to IC50 for antifibrotic activity against human LX2 cells | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1821731 | Binding affinity BRDT BD2 (unknown origin) incubated for 1 hr by TR-FRET assay | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID1606738 | Inhibition of BRD4 in poly(I:C)-stimulated human SAECs TLR3-inducible CIG5 gene expression pre-incubated for 24 hrs before poly(I:C) stimulation for 4 hrs by qRT-PCR analysis | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID1674517 | Selectivity ratio of Kd for N-terminal His-tagged BRD4 BD1 (unknown origin) to Kd for N-terminal His-tagged BRD4 BD2 (unknown origin) by isothermal calorimetric titration assay | 2020 | Journal of medicinal chemistry, 09-10, Volume: 63, Issue:17 ISSN: 1520-4804 | Design and Synthesis of a Highly Selective and |
AID752934 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per mg/ml of protein at 0.2 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1594418 | Cytotoxicity against human LO2 cells assessed as reduction in cell growth measured after 24 hrs by MTT assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1606744 | Binding affinity to recombinant BRD3 BD1 (unknown origin) incubated for 1 hr by TR-FRET assay | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID752994 | Drug metabolism in Beagle dog liver microsomes assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1547353 | Decrease in BRD4 expression in human HCT116 cells incubated for 24 hrs by western blot analysis | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID752959 | Drug metabolism in ICR/CD1 mouse liver S9 fraction assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1357996 | Inhibition of BRD3 BD2 (unknown origin) after 1 hr by TR-FRET assay | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1368366 | Cytotoxicity against human HD-MB03 cells assessed as reduction in cell viability after 5 days by CellTiter-Glo assay | 2018 | Bioorganic & medicinal chemistry, 01-01, Volume: 26, Issue:1 ISSN: 1464-3391 | Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors. |
AID1591810 | Up regulation of ApoA1 mRNA expression in human HepG2 cells at 100 uM by RT-PCR analysis relative to control | 2019 | Bioorganic & medicinal chemistry letters, 08-15, Volume: 29, Issue:16 ISSN: 1464-3405 | Design, synthesis and biological evaluation of hypolipidemic compounds based on BRD4 inhibitor RVX-208. |
AID1594413 | Inhibition of BRD4 in human A375 cells assessed as reduction in c-MYC mRNA expression at 10 uM measured after 24 hrs by RT-PCR analysis | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1477944 | Antiproliferative activity against human MCF7 cells after 24 hrs by MTT assay | 2017 | Journal of medicinal chemistry, 12-28, Volume: 60, Issue:24 ISSN: 1520-4804 | Discovery of a Small-Molecule Bromodomain-Containing Protein 4 (BRD4) Inhibitor That Induces AMP-Activated Protein Kinase-Modulated Autophagy-Associated Cell Death in Breast Cancer. |
AID752984 | Drug metabolism in ICR/CD1 mouse liver microsomes assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1821730 | Binding affinity BRDT BD1 (unknown origin) incubated for 1 hr by TR-FRET assay | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID752988 | Drug metabolism in Sprague-Dawley rat liver microsomes assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1375175 | Selectivity ratio of Kd for human BRD3 BD2 to Kd for human BRD3 BD1 | 2018 | Journal of medicinal chemistry, 05-24, Volume: 61, Issue:10 ISSN: 1520-4804 | Discovery of Tetrahydroquinoxalines as Bromodomain and Extra-Terminal Domain (BET) Inhibitors with Selectivity for the Second Bromodomain. |
AID1594417 | Antifibrotic activity against rat NRK-49F cells assessed as reduction in cell growth measured after 48 hrs by MTT assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1881998 | Binding affinity to BRD4 BD1 (unknown origin) by isothermal titration calorimetry | 2022 | European journal of medicinal chemistry, Jan-05, Volume: 227ISSN: 1768-3254 | |
AID752978 | Drug metabolism in human liver microsomes assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1547246 | Antiproliferative activity against human HCT116 cells assessed as reduction in cell viability measured after 24 to 48 hrs by MTT assay | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID752945 | Drug metabolism in New Zealand White rabbit liver microsomes assessed per mg/ml of protein at 0.5 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752942 | Drug metabolism in New Zealand White rabbit liver microsomes assessed per 4 mg/ml of protein at 0.5 mM after 24 hrs by LC-MS/MS analysis in presence of 25 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1559436 | Inhibition of BRD4 BD1 in HUVEC assessed as downregulation of NF-kappaB activity at 0.1 to 10 uM incubated for 24 hrs by dual luciferase reporter gene assay | 2019 | Journal of medicinal chemistry, 12-26, Volume: 62, Issue:24 ISSN: 1520-4804 | Discovery of Benzo[ |
AID752972 | Drug metabolism in Yucatan minipig liver microsomes assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752939 | Drug metabolism in New Zealand White rabbit liver microsomes assessed per mg/ml of protein at 0.2 mM after 24 hrs by LC-MS/MS analysis in presence of 25 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1358021 | Anti-inflammatory activity in poly(I:C)-induced airway inflammation C57BL/6 mouse model assessed as reduction in mKC expression in lung at 10 mg/kg, ip administered 1 day prior to poly(I:C) stimulation and redosed on day 2 followed by poly(I:C) stimulatio | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1594421 | Inhibition of BRD4 in human HLF1 cells assessed as reduction in collagen-1 protein expression at 10 uM measured after 24 hrs by Western blot analysis | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1280137 | Binding affinity to human BRD4 bromodomain 1 expressed in Escherichia coli BL21 (DE3) cells by isothermal titration calorimetry | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | New Synthetic Routes to Triazolo-benzodiazepine Analogues: Expanding the Scope of the Bump-and-Hole Approach for Selective Bromo and Extra-Terminal (BET) Bromodomain Inhibition. |
AID1594409 | Antiproliferative activity against human HepG2 cells assessed as reduction in cell growth measured after 48 hrs by MTT assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1460668 | Inhibition of recombinant human His6-tagged BRD3 bromodomain 1 expressed in Escherichia coli BL21(DE3)-R3-pRARE2 cells | 2017 | Journal of medicinal chemistry, 06-08, Volume: 60, Issue:11 ISSN: 1520-4804 | Drug Discovery Targeting Bromodomain-Containing Protein 4. |
AID752985 | Drug metabolism in ICR/CD1 mouse liver microsomes assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752937 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per 4 mg/ml of protein at 0.5 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1280141 | Binding affinity to human BRD4 bromodomain 1 by isothermal titration calorimetry | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | New Synthetic Routes to Triazolo-benzodiazepine Analogues: Expanding the Scope of the Bump-and-Hole Approach for Selective Bromo and Extra-Terminal (BET) Bromodomain Inhibition. |
AID1827529 | Cytotoxicity against human MOLM-14 cells assessed as reduction in cell viability incubated for 72 hrs | 2022 | Journal of medicinal chemistry, 04-14, Volume: 65, Issue:7 ISSN: 1520-4804 | CRCM5484: A BET-BDII Selective Compound with Differential Anti-leukemic Drug Modulation. |
AID752949 | Drug metabolism in Yucatan minipig liver S9 fraction assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752956 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1409614 | Overall antiviral activity against SARS-CoV-2 (isolate France/IDF0372/2020) in the Vero E6 cell line at 48 h based on three assays 1) detection of viral RNA by qRT-PCR (targeting the N-gene), 2) plaque assay using lysate 3 days after addition of compound | 2020 | Nature, 07, Volume: 583, Issue:7816 ISSN: 1476-4687 | A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. |
AID752947 | Drug metabolism in New Zealand White rabbit liver microsomes assessed per 4 mg/ml of protein at 0.5 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1318694 | Inhibition of human BRD4 BD2 (342 to 460 residues) at 30 uM preincubated for 30 mins followed by substrate addition measured after 30 mins by TR-FRET assay | 2016 | European journal of medicinal chemistry, Oct-04, Volume: 121ISSN: 1768-3254 | Development of 4,5-dihydro-benzodiazepinone derivatives as a new chemical series of BRD4 inhibitors. |
AID1477943 | Inhibition of His/thioredoxin-tagged human recombinant BRD4 bromodomain-1 (43 to 166 residues) expressed in Escherichia coli BL21 Star (DE3) pre-incubated for 30 mins followed by biotinylated histone peptide H4 addition measured after 30 mins by AlphaScre | 2017 | Journal of medicinal chemistry, 12-28, Volume: 60, Issue:24 ISSN: 1520-4804 | Discovery of a Small-Molecule Bromodomain-Containing Protein 4 (BRD4) Inhibitor That Induces AMP-Activated Protein Kinase-Modulated Autophagy-Associated Cell Death in Breast Cancer. |
AID1191950 | Inhibition of BRD4 bromodomain-1 (unknown origin) by europium based LANCE TR-FRET assay | 2015 | Bioorganic & medicinal chemistry, Mar-01, Volume: 23, Issue:5 ISSN: 1464-3391 | Discovery and structure-activity relationship studies of N6-benzoyladenine derivatives as novel BRD4 inhibitors. |
AID1547282 | Inhibition of HDAC in human HCT116 cells assessed as increase in acetylated histone H3 expression level measured after 24 hrs by Western blot analysis | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID1821722 | Antiinflammatory activity in human SAEC assessed as inhibition of Poly(I:C) induced IL-6 expression pretreated for 24 hrs followed by Poly(I:C) addition for 4 hrs by qRT-PCR analysis | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID1594408 | Antiproliferative activity against human HT-29 cells assessed as reduction in cell growth measured after 48 hrs by MTT assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID752931 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per mg/ml of protein at 2 mM after 24 hrs by LC-MS/MS analysis in presence of 25 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1674519 | Binding affinity to N-terminal His-tagged BRD4 BD1 (unknown origin) by isothermal calorimetric titration assay | 2020 | Journal of medicinal chemistry, 09-10, Volume: 63, Issue:17 ISSN: 1520-4804 | Design and Synthesis of a Highly Selective and |
AID752936 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per mg/ml of protein at 2 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1859896 | Binding affinity to human BRD4 BD1 assessed as dissociation constant by ITC analysis | 2022 | European journal of medicinal chemistry, Aug-05, Volume: 238ISSN: 1768-3254 | Discovery of 2-((2-methylbenzyl)thio)-6-oxo-4-(3,4,5-trimethoxyphenyl)-1,6-dihydropyrimidine-5-carbonitrile as a novel and effective bromodomain and extra-terminal (BET) inhibitor for the treatment of sepsis. |
AID752928 | Drug metabolism in calf liver microsomes assessed per mg/ml of protein at 2 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1358024 | Anti-inflammatory activity in poly(I:C)-induced airway inflammation C57BL/6 mouse model assessed as reduction in mCIG5 expression in lung at 10 mg/kg, ip administered 1 day prior to poly(I:C) stimulation and redosed on day 2 followed by poly(I:C) stimulat | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1606747 | Binding affinity to recombinant BRDT BD2 (unknown origin) incubated for 1 hr by TR-FRET assay | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID752979 | Drug metabolism in human liver microsomes assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1559423 | Displacement of tetra-acetylated histone H4 peptide from recombinant human His-tagged BRD3 BD2 expressed in bacterial expression system by alphascreen assay | 2019 | Journal of medicinal chemistry, 12-26, Volume: 62, Issue:24 ISSN: 1520-4804 | Discovery of Benzo[ |
AID1409609 | Cytotoxicity of compound against Vero E6 cells by MTT assay. | 2020 | Nature, 07, Volume: 583, Issue:7816 ISSN: 1476-4687 | A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. |
AID1821729 | Binding affinity BRD3 BD2 (unknown origin) incubated for 1 hr by TR-FRET assay | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID1280144 | Selectivity ratio of Kd for human BRD2 bromodomain 1 expressed in Escherichia coli BL21 (DE3) cells to Kd for human BRD2 bromodomain 2 expressed in Escherichia coli BL21 (DE3) cells | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | New Synthetic Routes to Triazolo-benzodiazepine Analogues: Expanding the Scope of the Bump-and-Hole Approach for Selective Bromo and Extra-Terminal (BET) Bromodomain Inhibition. |
AID1462222 | Antiproliferative activity against human OCI-AML2 cells after 72 hrs by MTT assay | 2017 | Bioorganic & medicinal chemistry letters, 09-01, Volume: 27, Issue:17 ISSN: 1464-3405 | Structure-based design, synthesis and in vitro antiproliferative effects studies of novel dual BRD4/HDAC inhibitors. |
AID1462217 | Antiproliferative activity against human MV4-11 cells after 72 hrs by MTT assay | 2017 | Bioorganic & medicinal chemistry letters, 09-01, Volume: 27, Issue:17 ISSN: 1464-3405 | Structure-based design, synthesis and in vitro antiproliferative effects studies of novel dual BRD4/HDAC inhibitors. |
AID752976 | Drug metabolism in calf liver microsomes assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1821726 | Binding affinity BRD2 BD1 (unknown origin) incubated for 1 hr by TR-FRET assay | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID1289235 | Binding affinity to BRD4 bromodomain 1 (unknown origin) by isothermal titration calorimetric analysis | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | Disrupting Acetyl-Lysine Recognition: Progress in the Development of Bromodomain Inhibitors. |
AID1477952 | Inhibition of BRD4 bromodomain-1 interaction with AMPK in human MCF7 cells assessed as induction of autophagy activity by measuring MDC positive cells at 5 uM after 6 hrs by MDC-fluorescence based flow cytometric analysis relative to control | 2017 | Journal of medicinal chemistry, 12-28, Volume: 60, Issue:24 ISSN: 1520-4804 | Discovery of a Small-Molecule Bromodomain-Containing Protein 4 (BRD4) Inhibitor That Induces AMP-Activated Protein Kinase-Modulated Autophagy-Associated Cell Death in Breast Cancer. |
AID1357994 | Inhibition of BRD2 BD2 (unknown origin) after 1 hr by TR-FRET assay | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1409608 | AUC (viral infection %) for SARS-CoV-2 in the Vero E6 cell line at 48 h by immunofluorescence-based assay (detecting the viral NP protein in the nucleus of the Vero E6 cells). | 2020 | Nature, 07, Volume: 583, Issue:7816 ISSN: 1476-4687 | A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. |
AID1462228 | Inhibition of human BRD4 bromodomain2 by Alphascreen assay | 2017 | Bioorganic & medicinal chemistry letters, 09-01, Volume: 27, Issue:17 ISSN: 1464-3405 | Structure-based design, synthesis and in vitro antiproliferative effects studies of novel dual BRD4/HDAC inhibitors. |
AID1882324 | Inhibition of BRD4 (unknown origin) | 2022 | European journal of medicinal chemistry, Feb-15, Volume: 230ISSN: 1768-3254 | Dual-target inhibitors of poly (ADP-ribose) polymerase-1 for cancer therapy: Advances, challenges, and opportunities. |
AID1513805 | Displacement of BI-BODIPY from BRD4 C-terminal bromodomain 2 (unknown origin) expressed in Escherichia coli Bl21(DE3) by fluorescence polarization assay | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor. |
AID1513795 | Inhibition of human 6x-His-tagged BRD3 bromodomain 2 expressed in Escherichia coli | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor. |
AID1549006 | Binding affinity to human BRD4 BD1 by isothermal calorimetry analysis | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of |
AID1368372 | Cytotoxicity against HEK293 cells assessed as reduction in cell viability after 3 days by CellTiter-Glo assay | 2018 | Bioorganic & medicinal chemistry, 01-01, Volume: 26, Issue:1 ISSN: 1464-3391 | Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors. |
AID1357999 | Inhibition of CBP (unknown origin) after 1 hr by TR-FRET assay | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1606741 | Binding affinity to recombinant BRD4 BD2 (unknown origin) incubated for 1 hr by TR-FRET assay | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID1606743 | Binding affinity to recombinant BRD2 BD2 (unknown origin) incubated for 1 hr by TR-FRET assay | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID752935 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per mg/ml of protein at 0.5 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1318697 | Cytotoxicity against human MV4-11 cells assessed as decrease in cell viability after 24 hrs by MTT assay | 2016 | European journal of medicinal chemistry, Oct-04, Volume: 121ISSN: 1768-3254 | Development of 4,5-dihydro-benzodiazepinone derivatives as a new chemical series of BRD4 inhibitors. |
AID1594404 | Inhibition of biotinylated H4 K5,8,12,16Ac peptide binding to GST-tagged BRD4 bromodomain1 (unknown origin) measured after 60 mins by AlphaScreen assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1477999 | Induction of autophagy in GFP/mRFP treated human MDA-MB-231 cells assessed as induction of LC3 puncta at 150 uM by fluorescence microscopic analysis | 2017 | Journal of medicinal chemistry, 12-28, Volume: 60, Issue:24 ISSN: 1520-4804 | Discovery of a Small-Molecule Bromodomain-Containing Protein 4 (BRD4) Inhibitor That Induces AMP-Activated Protein Kinase-Modulated Autophagy-Associated Cell Death in Breast Cancer. |
AID1368369 | Cytotoxicity against human 697 cells assessed as reduction in cell viability after 5 days by CellTiter-Glo assay | 2018 | Bioorganic & medicinal chemistry, 01-01, Volume: 26, Issue:1 ISSN: 1464-3391 | Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors. |
AID752950 | Drug metabolism in Yucatan minipig liver S9 fraction assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1357998 | Inhibition of BRDT BD2 (unknown origin) after 1 hr by TR-FRET assay | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1821725 | Binding affinity human BRD4 BD2 incubated for 1 hr by TR-FRET assay | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID1478046 | Induction of autophagy in human MDA-MB-231 cells assessed as downregulation of p62/SQSTM1 expression at 150 uM by Western blot analysis | 2017 | Journal of medicinal chemistry, 12-28, Volume: 60, Issue:24 ISSN: 1520-4804 | Discovery of a Small-Molecule Bromodomain-Containing Protein 4 (BRD4) Inhibitor That Induces AMP-Activated Protein Kinase-Modulated Autophagy-Associated Cell Death in Breast Cancer. |
AID1606740 | Binding affinity to recombinant BRD4 BD1 (unknown origin) incubated for 1 hr by TR-FRET assay | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID1357991 | Inhibition of BRD4 BD1 (unknown origin) after 1 hr by TR-FRET assay | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1409607 | IC50 for antiviral activity against SARS-CoV-2 in the Vero E6 cell line at 48 h by immunofluorescence-based assay (detecting the viral NP protein in the nucleus of the Vero E6 cells). | 2020 | Nature, 07, Volume: 583, Issue:7816 ISSN: 1476-4687 | A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. |
AID752953 | Drug metabolism in human liver S9 fraction assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1280136 | Binding affinity to human BRD2 bromodomain 2 expressed in Escherichia coli BL21 (DE3) cells by isothermal titration calorimetry | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | New Synthetic Routes to Triazolo-benzodiazepine Analogues: Expanding the Scope of the Bump-and-Hole Approach for Selective Bromo and Extra-Terminal (BET) Bromodomain Inhibition. |
AID1547248 | Antiproliferative activity against human DLD1 cells assessed as reduction in cell viability measured after 24 to 48 hrs by MTT assay | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID1821732 | Binding affinity CBP (unknown origin) incubated for 1 hr by TR-FRET assay | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID1594416 | Antifibrotic activity against human HLF1 cells assessed as reduction in cell growth measured after 48 hrs by MTT assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1591809 | Inhibition of BRD4 bromodomain 2 (unknown origin) incubated for 30 mins by ELISA | 2019 | Bioorganic & medicinal chemistry letters, 08-15, Volume: 29, Issue:16 ISSN: 1464-3405 | Design, synthesis and biological evaluation of hypolipidemic compounds based on BRD4 inhibitor RVX-208. |
AID752980 | Drug metabolism in New Zealand White rabbit liver microsomes assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1280138 | Binding affinity to human BRD4 bromodomain 2 expressed in Escherichia coli BL21 (DE3) cells by isothermal titration calorimetry | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | New Synthetic Routes to Triazolo-benzodiazepine Analogues: Expanding the Scope of the Bump-and-Hole Approach for Selective Bromo and Extra-Terminal (BET) Bromodomain Inhibition. |
AID1827531 | Cytotoxicity against human NB-4 cells assessed as reduction in cell viability incubated for 72 hrs | 2022 | Journal of medicinal chemistry, 04-14, Volume: 65, Issue:7 ISSN: 1520-4804 | CRCM5484: A BET-BDII Selective Compound with Differential Anti-leukemic Drug Modulation. |
AID1280135 | Binding affinity to human BRD2 bromodomain 1 expressed in Escherichia coli BL21 (DE3) cells by isothermal titration calorimetry | 2016 | Journal of medicinal chemistry, Feb-25, Volume: 59, Issue:4 ISSN: 1520-4804 | New Synthetic Routes to Triazolo-benzodiazepine Analogues: Expanding the Scope of the Bump-and-Hole Approach for Selective Bromo and Extra-Terminal (BET) Bromodomain Inhibition. |
AID1358023 | Anti-inflammatory activity in poly(I:C)-induced airway inflammation C57BL/6 mouse model assessed as reduction in mIL6 expression in lung at 10 mg/kg, ip administered 1 day prior to poly(I:C) stimulation and redosed on day 2 followed by poly(I:C) stimulati | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1606746 | Binding affinity to recombinant BRDT BD1 (unknown origin) incubated for 1 hr by TR-FRET assay | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID752941 | Drug metabolism in New Zealand White rabbit liver microsomes assessed per mg/ml of protein at 2 mM after 24 hrs by LC-MS/MS analysis in presence of 25 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752975 | Drug metabolism in calf liver microsomes assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1821728 | Binding affinity BRD3 BD1 (unknown origin) incubated for 1 hr by TR-FRET assay | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID1462214 | Inhibition of human BRD4 bromo domain 2 | 2017 | Bioorganic & medicinal chemistry letters, 09-01, Volume: 27, Issue:17 ISSN: 1464-3405 | Structure-based design, synthesis and in vitro antiproliferative effects studies of novel dual BRD4/HDAC inhibitors. |
AID752963 | Drug metabolism in Sprague-Dawley rat liver S9 fraction assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1606745 | Binding affinity to recombinant BRD3 BD2 (unknown origin) incubated for 1 hr by TR-FRET assay | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID752970 | Activity at human recombinant glucuronyl transferase at 100 uM after 1 to 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1594414 | Induction of apoptosis in human A375 cells at 10 uM measured after 24 hrs by Annexin V-FITC/propidium iodide staining based fluorescence microscopic analysis | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1559435 | Inhibition of LPS-induced NO overproduction in mouse RAW264.7 cells at 1 uM incubated for 2 hrs followed by LPS stimulation and measured after 22 hrs by Griess reagent based assay relative to control | 2019 | Journal of medicinal chemistry, 12-26, Volume: 62, Issue:24 ISSN: 1520-4804 | Discovery of Benzo[ |
AID752926 | Drug metabolism in calf liver microsomes assessed per 4 mg/ml of protein at 0.5 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1478045 | Induction of autophagy in human MCF7 cells assessed as downregulation of p62/SQSTM1 expression at 150 uM by Western blot analysis | 2017 | Journal of medicinal chemistry, 12-28, Volume: 60, Issue:24 ISSN: 1520-4804 | Discovery of a Small-Molecule Bromodomain-Containing Protein 4 (BRD4) Inhibitor That Induces AMP-Activated Protein Kinase-Modulated Autophagy-Associated Cell Death in Breast Cancer. |
AID1821727 | Binding affinity BRD2 BD2 (unknown origin) incubated for 1 hr by TR-FRET assay | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID752962 | Drug metabolism in Sprague-Dawley rat liver S9 fraction assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1460671 | Inhibition of recombinant human His6-tagged BRD2 bromodomain 2 expressed in Escherichia coli BL21(DE3)-R3-pRARE2 cells | 2017 | Journal of medicinal chemistry, 06-08, Volume: 60, Issue:11 ISSN: 1520-4804 | Drug Discovery Targeting Bromodomain-Containing Protein 4. |
AID752948 | Drug metabolism in New Zealand White rabbit liver microsomes assessed per 4 mg/ml of protein at 2 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1375120 | Chromatographic hydrophobicity index, log D of the compound at pH 7.4 by HPLC method | 2018 | Journal of medicinal chemistry, 05-24, Volume: 61, Issue:10 ISSN: 1520-4804 | Discovery of Tetrahydroquinoxalines as Bromodomain and Extra-Terminal Domain (BET) Inhibitors with Selectivity for the Second Bromodomain. |
AID1594411 | Antiproliferative activity against human MCF7 cells assessed as reduction in cell growth measured after 48 hrs by MTT assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID752943 | Drug metabolism in New Zealand White rabbit liver microsomes assessed per 4 mg/ml of protein at 2 mM after 24 hrs by LC-MS/MS analysis in presence of 25 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752930 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per mg/ml of protein at 0.5 mM after 24 hrs by LC-MS/MS analysis in presence of 25 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1357988 | Inhibition of BRD4 in human SAE cells assessed as reduction in TLR3 agonist poly(I:C) -induced ISG56 RNA expression preincubated for 24 hrs followed by poly(I:C) addition and measured after 4 hrs by SYBR green dye-based qRT-PCR analysis | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID1859897 | Binding affinity to human BRD4 BD2 assessed as dissociation constant by ITC analysis | 2022 | European journal of medicinal chemistry, Aug-05, Volume: 238ISSN: 1768-3254 | Discovery of 2-((2-methylbenzyl)thio)-6-oxo-4-(3,4,5-trimethoxyphenyl)-1,6-dihydropyrimidine-5-carbonitrile as a novel and effective bromodomain and extra-terminal (BET) inhibitor for the treatment of sepsis. |
AID752946 | Drug metabolism in New Zealand White rabbit liver microsomes assessed per mg/ml of protein at 2 mM after 24 hrs by LC-MS/MS analysis in presence of 5 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1409611 | AUC (cytotoxicity %) of compound against Vero E6 cells by MTT assay. | 2020 | Nature, 07, Volume: 583, Issue:7816 ISSN: 1476-4687 | A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. |
AID1547247 | Antiproliferative activity against human SW620 cells assessed as reduction in cell viability measured after 24 to 48 hrs by MTT assay | 2020 | Journal of medicinal chemistry, 04-09, Volume: 63, Issue:7 ISSN: 1520-4804 | Discovery of Thieno[2,3- |
AID1534669 | Inhibition of recombinant full length human N-terminal His6-tagged BRD4 (2 to 1362 residues) expressed in baculovirus infected insect cells using histone H4 peptide as substrate by alpha screen assay | 2019 | European journal of medicinal chemistry, Feb-01, Volume: 163ISSN: 1768-3254 | Rational design of 5-((1H-imidazol-1-yl)methyl)quinolin-8-ol derivatives as novel bromodomain-containing protein 4 inhibitors. |
AID1375118 | Displacement of (+)-JQ1 from 6H-Thr BRD4 Y97A mutant BD2 (unknown origin) after 30 mins by TR-FRET assay | 2018 | Journal of medicinal chemistry, 05-24, Volume: 61, Issue:10 ISSN: 1520-4804 | Discovery of Tetrahydroquinoxalines as Bromodomain and Extra-Terminal Domain (BET) Inhibitors with Selectivity for the Second Bromodomain. |
AID1594422 | Inhibition of BRD4 in human HLF1 cells assessed as reduction in collagen-1 mRNA expression at 10 uM measured after 24 hrs by RT-PCR analysis | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1606739 | Inhibition of BRD4 in poly(I:C)-stimulated human SAECs TLR3-inducible IL-6 gene expression pre-incubated for 24 hrs before poly(I:C) stimulation for 4 hrs by qRT-PCR analysis | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID1477945 | Antiproliferative activity against human MDA-MB-231 cells after 24 hrs by MTT assay | 2017 | Journal of medicinal chemistry, 12-28, Volume: 60, Issue:24 ISSN: 1520-4804 | Discovery of a Small-Molecule Bromodomain-Containing Protein 4 (BRD4) Inhibitor That Induces AMP-Activated Protein Kinase-Modulated Autophagy-Associated Cell Death in Breast Cancer. |
AID1606737 | Inhibition of BRD4 in poly(I:C)-stimulated human SAECs TLR3-inducible IL-6 gene expression at 10 uM pre-incubated for 24 hrs before poly(I:C) stimulation for 4 hrs by qRT-PCR analysis relative to control | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. |
AID752968 | Drug metabolism in Beagle dog liver S9 fraction assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1600708 | Inhibition of human recombinant N-terminal 6his-tagged BRD4 bromodomain 2 expressed in Escherichia coli BL21(DE3) using using H4 peptide as substrate by alphascreen assay | 2019 | Bioorganic & medicinal chemistry letters, 10-01, Volume: 29, Issue:19 ISSN: 1464-3405 | Design, synthesis and biological evaluation of 3,5-dimethylisoxazole and pyridone derivatives as BRD4 inhibitors. |
AID1591813 | Antihyperlipidemic activity in po dosed Sprague-Dawley rat assessed as increase in HDL-C level administered twice daily for 1 week measured 2 hrs post-last dose by HPLC analysis relative to control | 2019 | Bioorganic & medicinal chemistry letters, 08-15, Volume: 29, Issue:16 ISSN: 1464-3405 | Design, synthesis and biological evaluation of hypolipidemic compounds based on BRD4 inhibitor RVX-208. |
AID752971 | Drug metabolism in Yucatan minipig liver microsomes assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752929 | Drug metabolism in New Zealand White rabbit liver S9 fraction assessed per mg/ml of protein at 0.2 mM after 24 hrs by LC-MS/MS analysis in presence of 25 mM UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1821721 | Antiinflammatory activity in human SAEC assessed as inhibition of Poly(I:C) induced CIG5 expression pretreated for 24 hrs followed by Poly(I:C) addition for 4 hrs by qRT-PCR analysis | 2022 | Journal of medicinal chemistry, 02-10, Volume: 65, Issue:3 ISSN: 1520-4804 | Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site. |
AID1594406 | Inhibition of biotinylated H4 K5,8,12,16Ac peptide binding to GST-tagged BRD4 bromodomain2 (unknown origin) measured after 60 mins by AlphaScreen assay | 2019 | Bioorganic & medicinal chemistry, 05-01, Volume: 27, Issue:9 ISSN: 1464-3391 | Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors. |
AID1513831 | Inhibition of BRD4 bromodomain 2 in human A549 cells assessed as reduction in TNFalpha-induced NFkappaB transcription at 10 uM after 8 hrs by bright-glo luciferase reporter gene assay relative to control | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor. |
AID1549010 | Selectivity index, ratio of Kd for human BRD4 BD1 to Kd for human BRD4 BD2 | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of |
AID752958 | Drug metabolism in ICR/CD1 mouse liver S9 fraction assessed as M4 metabolite level at 100 uM after 24 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID752960 | Drug metabolism in ICR/CD1 mouse liver S9 fraction assessed as M4 metabolite level at 100 uM after 1 hr by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1513788 | Inhibition of human 6x-His-tagged BRD4 bromodomain 2 expressed in Escherichia coli | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor. |
AID1409613 | Selectivity ratio: ratio of AUC (viral infection %) of SARS-CoV-2 in the Vero E6 cell line compared to AUC (cytotoxicity %) of compound against Vero E6 cells by MTT assay. | 2020 | Nature, 07, Volume: 583, Issue:7816 ISSN: 1476-4687 | A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. |
AID1368368 | Cytotoxicity against human NALM16 cells assessed as reduction in cell viability after 5 days by CellTiter-Glo assay | 2018 | Bioorganic & medicinal chemistry, 01-01, Volume: 26, Issue:1 ISSN: 1464-3391 | Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors. |
AID1559489 | Displacement of tetra-acetylated histone H4 peptide from recombinant human N-terminal His-tagged BRD4 BD1 incubated for 2 hrs by TR-FRET assay | 2019 | Journal of medicinal chemistry, 12-26, Volume: 62, Issue:24 ISSN: 1520-4804 | Discovery of Benzo[ |
AID1549007 | Binding affinity to human BRD4 BD2 by isothermal calorimetry analysis | 2020 | Journal of medicinal chemistry, 05-28, Volume: 63, Issue:10 ISSN: 1520-4804 | Discovery of |
AID1881999 | Binding affinity to BRD4 BD2 (unknown origin) by isothermal titration calorimetry | 2022 | European journal of medicinal chemistry, Jan-05, Volume: 227ISSN: 1768-3254 | |
AID1357997 | Inhibition of BRDT BD1 (unknown origin) after 1 hr by TR-FRET assay | 2018 | European journal of medicinal chemistry, May-10, Volume: 151ISSN: 1768-3254 | Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation. |
AID752990 | Drug metabolism in cynomolgus monkey liver microsomes assessed as M4 metabolite level at 100 uM after 6 hrs by LC-MS/MS analysis in presence of UDPGA | 2013 | European journal of medicinal chemistry, Jun, Volume: 64ISSN: 1768-3254 | In vitro biosynthesis, isolation, and identification of predominant metabolites of 2-(4-(2-hydroxyethoxy)-3,5-dimethylphenyl)-5,7-dimethoxyquinazolin-4(3H)-one (RVX-208). |
AID1296008 | Cytotoxic Profiling of Annotated Libraries Using Quantitative High-Throughput Screening | 2020 | SLAS discovery : advancing life sciences R & D, 01, Volume: 25, Issue:1 ISSN: 2472-5560 | Cytotoxic Profiling of Annotated and Diverse Chemical Libraries Using Quantitative High-Throughput Screening. |
AID1346986 | P-glycoprotein substrates identified in KB-3-1 adenocarcinoma cell line, qHTS therapeutic library screen | 2019 | Molecular pharmacology, 11, Volume: 96, Issue:5 ISSN: 1521-0111 | A High-Throughput Screen of a Library of Therapeutics Identifies Cytotoxic Substrates of P-glycoprotein. |
AID1347160 | Primary screen NINDS Rhodamine qHTS for Zika virus inhibitors | 2020 | Proceedings of the National Academy of Sciences of the United States of America, 12-08, Volume: 117, Issue:49 ISSN: 1091-6490 | Therapeutic candidates for the Zika virus identified by a high-throughput screen for Zika protease inhibitors. |
AID1346987 | P-glycoprotein substrates identified in KB-8-5-11 adenocarcinoma cell line, qHTS therapeutic library screen | 2019 | Molecular pharmacology, 11, Volume: 96, Issue:5 ISSN: 1521-0111 | A High-Throughput Screen of a Library of Therapeutics Identifies Cytotoxic Substrates of P-glycoprotein. |
AID1347159 | Primary screen GU Rhodamine qHTS for Zika virus inhibitors: Unlinked NS2B-NS3 protease assay | 2020 | Proceedings of the National Academy of Sciences of the United States of America, 12-08, Volume: 117, Issue:49 ISSN: 1091-6490 | Therapeutic candidates for the Zika virus identified by a high-throughput screen for Zika protease inhibitors. |
AID1508612 | NCATS Parallel Artificial Membrane Permeability Assay (PAMPA) Profiling | 2017 | Bioorganic & medicinal chemistry, 02-01, Volume: 25, Issue:3 ISSN: 1464-3391 | Highly predictive and interpretable models for PAMPA permeability. |
AID1508591 | NCATS Rat Liver Microsome Stability Profiling | 2020 | Scientific reports, 11-26, Volume: 10, Issue:1 ISSN: 2045-2322 | Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models. |
AID1347411 | qHTS to identify inhibitors of the type 1 interferon - major histocompatibility complex class I in skeletal muscle: primary screen against the NCATS Mechanism Interrogation Plate v5.0 (MIPE) Libary | 2020 | ACS chemical biology, 07-17, Volume: 15, Issue:7 ISSN: 1554-8937 | High-Throughput Screening to Identify Inhibitors of the Type I Interferon-Major Histocompatibility Complex Class I Pathway in Skeletal Muscle. |
AID1645848 | NCATS Kinetic Aqueous Solubility Profiling | 2019 | Bioorganic & medicinal chemistry, 07-15, Volume: 27, Issue:14 ISSN: 1464-3391 | Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity. |
AID977611 | Experimentally measured binding affinity data (Kd) for protein-ligand complexes derived from PDB | 2013 | Proceedings of the National Academy of Sciences of the United States of America, Dec-03, Volume: 110, Issue:49 ISSN: 1091-6490 | RVX-208, an inhibitor of BET transcriptional regulators with selectivity for the second bromodomain. |
AID1346122 | Human bromodomain containing 3 (Bromodomain kinase (BRDK) family) | 2013 | PloS one, , Volume: 8, Issue:12 ISSN: 1932-6203 | RVX-208, an inducer of ApoA-I in humans, is a BET bromodomain antagonist. |
AID1345665 | Human bromodomain containing 4 (Bromodomain kinase (BRDK) family) | 2013 | PloS one, , Volume: 8, Issue:12 ISSN: 1932-6203 | RVX-208, an inducer of ApoA-I in humans, is a BET bromodomain antagonist. |
AID1345662 | Human bromodomain containing 2 (Bromodomain kinase (BRDK) family) | 2013 | PloS one, , Volume: 8, Issue:12 ISSN: 1932-6203 | RVX-208, an inducer of ApoA-I in humans, is a BET bromodomain antagonist. |
AID1346122 | Human bromodomain containing 3 (Bromodomain kinase (BRDK) family) | 2013 | Proceedings of the National Academy of Sciences of the United States of America, Dec-03, Volume: 110, Issue:49 ISSN: 1091-6490 | RVX-208, an inhibitor of BET transcriptional regulators with selectivity for the second bromodomain. |
Research
Studies (92)
Timeframe | Studies, This Drug (%) | All Drugs % |
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 0 (0.00) | 29.6817 |
2010's | 55 (59.78) | 24.3611 |
2020's | 37 (40.22) | 2.80 |
Study Types
Publication Type | This drug (%) | All Drugs (%) |
Trials | 13 (14.13%) | 5.53% |
Reviews | 15 (16.30%) | 6.00% |
Case Studies | 0 (0.00%) | 4.05% |
Observational | 0 (0.00%) | 0.25% |
Other | 64 (69.57%) | 84.16% |
Substance | Studies | Classes | Roles | First Year | Last Year | Average Age | Relationship Strength | Trials | pre-1990 | 1990's | 2000's | 2010's | post-2020 |
b 844-39 | | diarylmethane | | 2017 | 2017 | 7.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
pk 11195 | | aromatic amide; isoquinolines; monocarboxylic acid amide; monochlorobenzenes | antineoplastic agent | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
jtv519 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
alprazolam | | organochlorine compound; triazolobenzodiazepine | anticonvulsant; anxiolytic drug; GABA agonist; muscle relaxant; sedative; xenobiotic | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
dan 2163 | | aromatic amide; aromatic amine; benzamides; pyrrolidines; sulfone | environmental contaminant; second generation antipsychotic; xenobiotic | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
amlexanox | | monocarboxylic acid; pyridochromene | anti-allergic agent; anti-ulcer drug; non-steroidal anti-inflammatory drug | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
astemizole | | benzimidazoles; piperidines | anti-allergic agent; anticoronaviral agent; H1-receptor antagonist | 2017 | 2020 | 5.0 | low | 0 | 0 | 0 | 0 | 4 | 0 |
benzbromarone | | 1-benzofurans; aromatic ketone | uricosuric drug | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
bisindolylmaleimide i | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
bufexamac | | aromatic ether; hydroxamic acid | antipyretic; non-narcotic analgesic; non-steroidal anti-inflammatory drug | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
cadralazine | | organic molecular entity | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
verapamil | | aromatic ether; nitrile; polyether; tertiary amino compound | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
camostat | | benzoate ester; carboxylic ester; diester; guanidines; tertiary carboxamide | anti-inflammatory agent; anticoronaviral agent; antifibrinolytic drug; antihypertensive agent; antineoplastic agent; antiviral agent; serine protease inhibitor | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
carbetapentane | | benzenes | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
carvedilol | | carbazoles; secondary alcohol; secondary amino compound | alpha-adrenergic antagonist; antihypertensive agent; beta-adrenergic antagonist; cardiovascular drug; vasodilator agent | 2019 | 2020 | 4.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
cetirizine | | ether; monocarboxylic acid; monochlorobenzenes; piperazines | anti-allergic agent; environmental contaminant; H1-receptor antagonist; xenobiotic | 2019 | 2020 | 4.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
chlorcyclizine | | diarylmethane | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
chloroquine | | aminoquinoline; organochlorine compound; secondary amino compound; tertiary amino compound | anticoronaviral agent; antimalarial; antirheumatic drug; autophagy inhibitor; dermatologic drug | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
ci 994 | | acetamides; benzamides; substituted aniline | antineoplastic agent; EC 3.5.1.98 (histone deacetylase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
clofibrate | | aromatic ether; ethyl ester; monochlorobenzenes | anticholesteremic drug; antilipemic drug; geroprotector; PPARalpha agonist | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
cloperastine | | diarylmethane | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
cyclosporine | | | | 2017 | 2020 | 5.5 | high | 0 | 0 | 0 | 0 | 2 | 0 |
valproic acid | | branched-chain fatty acid; branched-chain saturated fatty acid | anticonvulsant; antimanic drug; EC 3.5.1.98 (histone deacetylase) inhibitor; GABA agent; neuroprotective agent; psychotropic drug; teratogenic agent | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
fenbendazole | | aryl sulfide; benzimidazoles; carbamate ester | antinematodal drug | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
berotek | | resorcinols; secondary alcohol; secondary amino compound | beta-adrenergic agonist; bronchodilator agent; sympathomimetic agent; tocolytic agent | 2017 | 2017 | 7.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
gemfibrozil | | aromatic ether | antilipemic drug | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
go 6976 | | indolocarbazole; organic heterohexacyclic compound | EC 2.7.11.13 (protein kinase C) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
haloperidol | | aromatic ketone; hydroxypiperidine; monochlorobenzenes; organofluorine compound; tertiary alcohol | antidyskinesia agent; antiemetic; dopaminergic antagonist; first generation antipsychotic; serotonergic antagonist | 2017 | 2020 | 5.0 | low | 0 | 0 | 0 | 0 | 4 | 0 |
homochlorocyclizine | | diarylmethane | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
hydroxychloroquine | | aminoquinoline; organochlorine compound; primary alcohol; secondary amino compound; tertiary amino compound | anticoronaviral agent; antimalarial; antirheumatic drug; dermatologic drug | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
hydroxyzine | | hydroxyether; monochlorobenzenes; N-alkylpiperazine | anticoronaviral agent; antipruritic drug; anxiolytic drug; dermatologic drug; H1-receptor antagonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
ifenprodil | | piperidines | | 2017 | 2020 | 5.0 | low | 0 | 0 | 0 | 0 | 4 | 0 |
indomethacin | | aromatic ether; indole-3-acetic acids; monochlorobenzenes; N-acylindole | analgesic; drug metabolite; EC 1.14.99.1 (prostaglandin-endoperoxide synthase) inhibitor; environmental contaminant; gout suppressant; non-steroidal anti-inflammatory drug; xenobiotic metabolite; xenobiotic | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
1-(2-naphthalenyl)-3-[(phenylmethyl)-propan-2-ylamino]-1-propanone | | naphthalenes | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
ketamine | | cyclohexanones; monochlorobenzenes; secondary amino compound | analgesic; environmental contaminant; intravenous anaesthetic; neurotoxin; NMDA receptor antagonist; xenobiotic | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
ketoprofen | | benzophenones; oxo monocarboxylic acid | antipyretic; drug allergen; EC 1.14.99.1 (prostaglandin-endoperoxide synthase) inhibitor; environmental contaminant; non-steroidal anti-inflammatory drug; xenobiotic | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
loratadine | | benzocycloheptapyridine; ethyl ester; N-acylpiperidine; organochlorine compound; tertiary carboxamide | anti-allergic agent; cholinergic antagonist; geroprotector; H1-receptor antagonist | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
4-(dimethylamino)-n-(7-(hydroxyamino)-7-oxoheptyl)benzamide | | benzamides; hydroxamic acid; secondary carboxamide; tertiary amino compound | antineoplastic agent; apoptosis inducer; EC 3.5.1.98 (histone deacetylase) inhibitor | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
mebendazole | | aromatic ketone; benzimidazoles; carbamate ester | antinematodal drug; microtubule-destabilising agent; tubulin modulator | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
mephenesin | | aromatic ether; glycerol ether | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
metformin | | guanidines | environmental contaminant; geroprotector; hypoglycemic agent; xenobiotic | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
minoxidil | | dialkylarylamine; tertiary amino compound | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
nafamostat | | benzoic acids; guanidines | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
niclosamide | | benzamides; C-nitro compound; monochlorobenzenes; salicylanilides; secondary carboxamide | anthelminthic drug; anticoronaviral agent; antiparasitic agent; apoptosis inducer; molluscicide; piscicide; STAT3 inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
oxibendazole | | benzimidazoles; carbamate ester | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
4-(2'-methoxyphenyl)-1-(2'-(n-(2''-pyridinyl)-4-iodobenzamido)ethyl)piperazine | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
perphenazine | | N-(2-hydroxyethyl)piperazine; N-alkylpiperazine; organochlorine compound; phenothiazines | antiemetic; dopaminergic antagonist; phenothiazine antipsychotic drug | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
pimobendan | | benzimidazoles; pyridazinone | cardiotonic drug; EC 3.1.4.* (phosphoric diester hydrolase) inhibitor; vasodilator agent | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
pioglitazone | | aromatic ether; pyridines; thiazolidinediones | antidepressant; cardioprotective agent; EC 2.7.1.33 (pantothenate kinase) inhibitor; EC 6.2.1.3 (long-chain-fatty-acid--CoA ligase) inhibitor; ferroptosis inhibitor; geroprotector; hypoglycemic agent; insulin-sensitizing drug; PPARgamma agonist; xenobiotic | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
ag 1879 | | aromatic amine; monochlorobenzenes; pyrazolopyrimidine | beta-adrenergic antagonist; EC 2.7.10.2 (non-specific protein-tyrosine kinase) inhibitor; geroprotector | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
3-[(3,5-dibromo-4-hydroxyphenyl)methylidene]-5-iodo-1H-indol-2-one | | indoles | | 2017 | 2020 | 5.5 | medium | 0 | 0 | 0 | 0 | 2 | 0 |
ro 31-8220 | | imidothiocarbamic ester; indoles; maleimides | EC 2.7.11.13 (protein kinase C) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
ropinirole | | indolones; tertiary amine | antidyskinesia agent; antiparkinson drug; central nervous system drug; dopamine agonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
sb 202190 | | imidazoles; organofluorine compound; phenols; pyridines | apoptosis inducer; EC 2.7.11.24 (mitogen-activated protein kinase) inhibitor | 2017 | 2017 | 7.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
vorinostat | | dicarboxylic acid diamide; hydroxamic acid | antineoplastic agent; apoptosis inducer; EC 3.5.1.98 (histone deacetylase) inhibitor | 2017 | 2021 | 5.0 | low | 0 | 0 | 0 | 0 | 5 | 1 |
thalidomide | | phthalimides; piperidones | | 2015 | 2015 | 9.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
2-[4-(4-chloro-1,2-diphenylbut-1-enyl)phenoxy]-N,N-dimethylethanamine | | stilbenoid | | 2017 | 2020 | 5.5 | high | 0 | 0 | 0 | 0 | 2 | 0 |
trifluperidol | | aromatic ketone | | 2017 | 2017 | 7.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
3-(5'-hydroxymethyl-2'-furyl)-1-benzylindazole | | aromatic primary alcohol; furans; indazoles | antineoplastic agent; apoptosis inducer; platelet aggregation inhibitor; soluble guanylate cyclase activator; vasodilator agent | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
zotepine | | dibenzothiepine; tertiary amino compound | alpha-adrenergic drug; second generation antipsychotic; serotonergic drug | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
chloramphenicol | | C-nitro compound; carboxamide; diol; organochlorine compound | antibacterial drug; antimicrobial agent; Escherichia coli metabolite; geroprotector; Mycoplasma genitalium metabolite; protein synthesis inhibitor | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
colchicine | | alkaloid; colchicine | anti-inflammatory agent; gout suppressant; mutagen | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
benziodarone | | aromatic ketone | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
cyclizine | | N-alkylpiperazine | antiemetic; central nervous system depressant; cholinergic antagonist; H1-receptor antagonist; local anaesthetic | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
trehalose | | trehalose | Escherichia coli metabolite; geroprotector; human metabolite; mouse metabolite; Saccharomyces cerevisiae metabolite | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
triclocarban | | dichlorobenzene; monochlorobenzenes; phenylureas | antimicrobial agent; antiseptic drug; disinfectant; environmental contaminant; xenobiotic | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
4-tert-octylphenol | | alkylbenzene | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
ethamivan | | methoxybenzenes; phenols | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
azacitidine | | N-glycosyl-1,3,5-triazine; nucleoside analogue | antineoplastic agent | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
methysergide | | ergoline alkaloid | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
emetine | | isoquinoline alkaloid; pyridoisoquinoline | antiamoebic agent; anticoronaviral agent; antiinfective agent; antimalarial; antineoplastic agent; antiprotozoal drug; antiviral agent; autophagy inhibitor; emetic; expectorant; plant metabolite; protein synthesis inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
podophyllotoxin | | furonaphthodioxole; lignan; organic heterotetracyclic compound | antimitotic; antineoplastic agent; keratolytic drug; microtubule-destabilising agent; plant metabolite; tubulin modulator | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
ferrocin c | | | | 2016 | 2016 | 8.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
etonitazene | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
clothiapine | | dibenzothiazepine | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
pimozide | | benzimidazoles; heteroarylpiperidine; organofluorine compound | antidyskinesia agent; dopaminergic antagonist; first generation antipsychotic; H1-receptor antagonist; serotonergic antagonist | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
benperidol | | aromatic ketone | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
7-hydroxychlorpromazine | | phenothiazines | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
nitroxoline | | C-nitro compound; monohydroxyquinoline | antifungal agent; antiinfective agent; antimicrobial agent; renal agent | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
camptothecin | | delta-lactone; pyranoindolizinoquinoline; quinoline alkaloid; tertiary alcohol | antineoplastic agent; EC 5.99.1.2 (DNA topoisomerase) inhibitor; genotoxin; plant metabolite | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
clemastine | | monochlorobenzenes; N-alkylpyrrolidine | anti-allergic agent; antipruritic drug; H1-receptor antagonist; muscarinic antagonist | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
thenalidine | | dialkylarylamine; tertiary amino compound | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
1-deoxynojirimycin | | 2-(hydroxymethyl)piperidine-3,4,5-triol; piperidine alkaloid | anti-HIV agent; anti-obesity agent; bacterial metabolite; EC 3.2.1.20 (alpha-glucosidase) inhibitor; hepatoprotective agent; hypoglycemic agent; plant metabolite | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
daunorubicin | | aminoglycoside antibiotic; anthracycline; p-quinones; tetracenequinones | antineoplastic agent; bacterial metabolite | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
bromocriptine | | indole alkaloid | antidyskinesia agent; antiparkinson drug; dopamine agonist; hormone antagonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
dexchlorpheniramine | | chlorphenamine | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
dv 1006 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
ribavirin | | 1-ribosyltriazole; aromatic amide; monocarboxylic acid amide; primary carboxamide | anticoronaviral agent; antiinfective agent; antimetabolite; antiviral agent; EC 2.7.7.49 (RNA-directed DNA polymerase) inhibitor | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
climbazole | | aromatic ether; hemiaminal ether; imidazoles; ketone; monochlorobenzenes | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
triadimenol | | aromatic ether; conazole fungicide; hemiaminal ether; monochlorobenzenes; secondary alcohol; triazole fungicide | antifungal agrochemical; EC 1.14.13.70 (sterol 14alpha-demethylase) inhibitor; xenobiotic metabolite | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
nitazoxanide | | benzamides; carboxylic ester | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
captopril | | alkanethiol; L-proline derivative; N-acylpyrrolidine; pyrrolidinemonocarboxylic acid | antihypertensive agent; EC 3.4.15.1 (peptidyl-dipeptidase A) inhibitor | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
amonafide | | isoquinolines | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
lovastatin | | delta-lactone; fatty acid ester; hexahydronaphthalenes; polyketide; statin (naturally occurring) | anticholesteremic drug; antineoplastic agent; Aspergillus metabolite; prodrug | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
flupirtine | | aminopyridine | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
chaetochromin | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
rimcazole | | carbazoles | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
enoximone | | aromatic ketone | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
aripiprazole | | aromatic ether; delta-lactam; dichlorobenzene; N-alkylpiperazine; N-arylpiperazine; quinolone | drug metabolite; H1-receptor antagonist; second generation antipsychotic; serotonergic agonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
benzylaminopurine | | 6-aminopurines | cytokinin; plant metabolite | 2015 | 2015 | 9.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
aloxistatin | | epoxide; ethyl ester; L-leucine derivative; monocarboxylic acid amide | anticoronaviral agent; cathepsin B inhibitor | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
indocate | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
N(4)-acetylsulfathiazole | | 1,3-thiazoles; acetamides; sulfonamide | marine xenobiotic metabolite | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
cyclizine hydrochloride | | | | 2017 | 2020 | 5.5 | medium | 0 | 0 | 0 | 0 | 2 | 0 |
2,3-trimethylene-4-quinazolone | | quinazolines | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
1,3-dimethyluric acid | | oxopurine | metabolite | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
danofloxacin | | quinolines | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
nitrefazole | | imidazoles | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
methotrimeprazine | | phenothiazines; tertiary amine | anticoronaviral agent; cholinergic antagonist; dopaminergic antagonist; EC 3.4.21.26 (prolyl oligopeptidase) inhibitor; non-narcotic analgesic; phenothiazine antipsychotic drug; serotonergic antagonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
honokiol | | biphenyls | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
9-methoxyellipticine | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
3-aminophenoxazone | | phenoxazine | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
3-deazaneplanocin | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
tryptanthrine | | alkaloid antibiotic; organic heterotetracyclic compound; organonitrogen heterocyclic compound | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
2-chlorodiazepam | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
Polycartine B | | phenazines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
aminoquinuride dihydrochloride | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
thioproperazine mesylate | | phenothiazines | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
n(6)-(delta(2)-isopentenyl)adenine | | 6-isopentenylaminopurine | cytokinin | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
lekoptin | | 2-(3,4-dimethoxyphenyl)-5-{[2-(3,4-dimethoxyphenyl)ethyl](methyl)amino}-2-(propan-2-yl)pentanenitrile | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
4-methyl-N-(phenylmethyl)benzenesulfonamide | | sulfonamide | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
zpck | | | | 2019 | 2020 | 4.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
sr141716 | | amidopiperidine; carbohydrazide; dichlorobenzene; monochlorobenzenes; pyrazoles | anti-obesity agent; appetite depressant; CB1 receptor antagonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
indolactam v | | indoles | | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
(6R)-7-[4-(dimethylamino)phenyl]-N-hydroxy-4,6-dimethyl-7-oxohepta-2,4-dienamide | | aromatic ketone | | 2017 | 2020 | 5.5 | high | 0 | 0 | 0 | 0 | 2 | 0 |
fingolimod | | aminodiol; primary amino compound | antineoplastic agent; CB1 receptor antagonist; immunosuppressive agent; prodrug; sphingosine-1-phosphate receptor agonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
tesmilifene | | diarylmethane | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
sr 27897 | | indolyl carboxylic acid | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
n-(n-(3-carboxyoxirane-2-carbonyl)leucyl)isoamylamine | | leucine derivative | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
norketamine | | organochlorine compound | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
indatraline | | indanes | | 2019 | 2020 | 4.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
bd 1008 | | primary amine | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
methotrexate | | dicarboxylic acid; monocarboxylic acid amide; pteridines | abortifacient; antimetabolite; antineoplastic agent; antirheumatic drug; dermatologic drug; DNA synthesis inhibitor; EC 1.5.1.3 (dihydrofolate reductase) inhibitor; immunosuppressive agent | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
salvinorin a | | organic heterotricyclic compound; organooxygen compound | metabolite; oneirogen | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
4-diethoxyphosphorylmethyl-n-(4-bromo-2-cyanophenyl)benzamide | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
n,n-di-n-hexyl-2-(4-fluorophenyl)indole-3-acetamide | | phenylindole | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
l 741626 | | piperidines | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
dx 8951 | | pyranoindolizinoquinoline | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
vx 497 | | | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
tipifarnib | | imidazoles; monochlorobenzenes; primary amino compound; quinolone | antineoplastic agent; apoptosis inducer; EC 2.5.1.58 (protein farnesyltransferase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
cyc 202 | | 2,6-diaminopurines | antiviral drug; EC 2.7.11.22 (cyclin-dependent kinase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
avasimibe | | monoterpenoid | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
sb 203580 | | imidazoles; monofluorobenzenes; pyridines; sulfoxide | EC 2.7.11.1 (non-specific serine/threonine protein kinase) inhibitor; EC 2.7.11.24 (mitogen-activated protein kinase) inhibitor; geroprotector; Hsp90 inhibitor; neuroprotective agent | 2018 | 2018 | 6.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
l 163191 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
dizocilpine | | secondary amino compound; tetracyclic antidepressant | anaesthetic; anticonvulsant; neuroprotective agent; nicotinic antagonist; NMDA receptor antagonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
s-benzylcysteine | | S-aryl-L-cysteine zwitterion | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
chelidonine | | alkaloid antibiotic; alkaloid fundamental parent; benzophenanthridine alkaloid | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
lapatinib | | furans; organochlorine compound; organofluorine compound; quinazolines | antineoplastic agent; tyrosine kinase inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
roxindole | | indoles | alpha-adrenergic antagonist; serotonergic drug | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
conidendrin | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
Porfiromycine | | mitomycin | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
nsc 95397 | | 1,4-naphthoquinones | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
4-methyl-2-quinazolinamine | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
2-glycineamide-5-chlorophenyl-2-pyrryl ketone | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
niguldipine hydrochloride | | | | 2019 | 2020 | 4.5 | medium | 0 | 0 | 0 | 0 | 2 | 0 |
2,5-bis(5-hydroxymethyl-2-thienyl)furan | | thiophenes | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
ritonavir | | 1,3-thiazoles; carbamate ester; carboxamide; L-valine derivative; ureas | antiviral drug; environmental contaminant; HIV protease inhibitor; xenobiotic | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
bardoxolone methyl | | cyclohexenones | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Destruxin B | | cyclodepsipeptide | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
tosylphenylalanyl chloromethyl ketone | | alpha-chloroketone; sulfonamide | alkylating agent; serine proteinase inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
trichostatin a | | antibiotic antifungal agent; hydroxamic acid; trichostatin | bacterial metabolite; EC 3.5.1.98 (histone deacetylase) inhibitor; geroprotector | 2019 | 2021 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 1 |
mycophenolic acid | | 2-benzofurans; gamma-lactone; monocarboxylic acid; phenols | anticoronaviral agent; antimicrobial agent; antineoplastic agent; EC 1.1.1.205 (IMP dehydrogenase) inhibitor; environmental contaminant; immunosuppressive agent; mycotoxin; Penicillium metabolite; xenobiotic | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
brivudine | | | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
zithromax | | macrolide antibiotic | antibacterial drug; environmental contaminant; xenobiotic | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
zeatin | | zeatin | plant metabolite | 2015 | 2015 | 9.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
h 89 | | N-[2-(4-bromocinnamylamino)ethyl]isoquinoline-5-sulfonamide | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
12-deoxyphorbol 13-acetate | | phorbol ester | metabolite | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
sitafloxacin | | fluoroquinolone antibiotic; quinolines; quinolone antibiotic | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
2'-c-methylcytidine | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
jp-1302 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
7-chloro-5,10-dihydrothieno[3,4-b][1,5]benzodiazepin-4-one | | benzodiazepine | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
tenatoprazole | | imidazopyridine | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
s 1033 | | (trifluoromethyl)benzenes; imidazoles; pyridines; pyrimidines; secondary amino compound; secondary carboxamide | anticoronaviral agent; antineoplastic agent; tyrosine kinase inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
5-[(2-fluoroanilino)methyl]-8-quinolinol | | hydroxyquinoline | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
benidipine hydrochloride | | | | 2017 | 2020 | 5.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
benidipine | | | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
2-(1,3-benzoxazol-2-ylamino)-5-spiro[1,6,7,8-tetrahydroquinazoline-4,1'-cyclopentane]one | | quinazolines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
chlorprothixene | | chlorprothixene | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
jrf 12 | | | | 2017 | 2020 | 5.0 | medium | 0 | 0 | 0 | 0 | 4 | 0 |
5-amino-3-(4-methoxyphenyl)-4-oxo-1-thieno[3,4-d]pyridazinecarboxylic acid ethyl ester | | methoxybenzenes; substituted aniline | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
3-hydroxypyridine, sodium salt | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
N-(3-cyano-4,5,6,7-tetrahydro-1-benzothiophen-2-yl)-1-naphthalenecarboxamide | | naphthalenecarboxamide | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
(2'-(4-aminophenyl)-(2,5'-bi-1h-benzimidazol)-5-amine) | | benzimidazoles | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
5-[(2-bromoanilino)methyl]-8-quinolinol | | hydroxyquinoline | | 2017 | 2020 | 5.2 | high | 0 | 0 | 0 | 0 | 4 | 0 |
3-amino-n-(4-methoxybenzyl)-4,6-dimethylthieno(2,3-b)pyridine-2-carboxamide | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
N-[(2-methoxyphenyl)methyl]-4-(1-piperidinyl)aniline | | aromatic amine | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
1-[4-(4-bromophenyl)-2-thiazolyl]-4-piperidinecarboxamide | | piperidinecarboxamide | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
5-[[2-(trifluoromethyl)anilino]methyl]-8-quinolinol | | hydroxyquinoline | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
N-[3-[2-[(4-methyl-2-pyridinyl)amino]-4-thiazolyl]phenyl]acetamide | | acetamides; anilide | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
5-bromo-N-(5-cyclohexyl-1,3,4-thiadiazol-2-yl)-2-thiophenecarboxamide | | aromatic amide; thiophenes | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
6-amino-1-[2-(3,4-dimethoxyphenyl)ethyl]-2-sulfanylidene-4-pyrimidinone | | dimethoxybenzene | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
N-[4-[(3,4-dimethyl-5-isoxazolyl)sulfamoyl]phenyl]-6,8-dimethyl-2-(2-pyridinyl)-4-quinolinecarboxamide | | aromatic amide | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
N-[5-[(4-chlorophenoxy)methyl]-1,3,4-thiadiazol-2-yl]-5-methyl-3-phenyl-4-isoxazolecarboxamide | | aromatic ether | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
3-chloro-1-(2,5-dimethoxyphenyl)-4-(1-piperidinyl)pyrrole-2,5-dione | | maleimides | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
Src Inhibitor-1 | | aromatic ether; polyether; quinazolines; secondary amino compound | EC 2.7.10.2 (non-specific protein-tyrosine kinase) inhibitor | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
1-[2-(3,4-dimethoxyphenyl)ethyl]-6-propyl-2-sulfanylidene-7,8-dihydro-5H-pyrimido[4,5-d]pyrimidin-4-one | | dimethoxybenzene | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
2-phenyl-N-[4-(2-thiazolylsulfamoyl)phenyl]-4-quinolinecarboxamide | | quinolines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
4E2RCat | | organic molecular entity | | 2020 | 2020 | 4.0 | medium | 0 | 0 | 0 | 0 | 1 | 0 |
3-(2,5-dimethyl-1-phenyl-3-pyrrolyl)-6,7,8,9-tetrahydro-5H-[1,2,4]triazolo[4,3-a]azepine | | pyrroles | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
digoxin | | cardenolide glycoside; steroid saponin | anti-arrhythmia drug; cardiotonic drug; EC 3.6.3.9 (Na(+)/K(+)-transporting ATPase) inhibitor; epitope | 2016 | 2016 | 8.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
bi-78d3 | | aryl sulfide | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
kartogenin | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
toremifene | | aromatic ether; organochlorine compound; tertiary amine | antineoplastic agent; bone density conservation agent; estrogen antagonist; estrogen receptor modulator | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
vx-745 | | aryl sulfide; dichlorobenzene; difluorobenzene; pyrimidopyridazine | anti-inflammatory drug; apoptosis inducer; EC 2.7.11.24 (mitogen-activated protein kinase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
dasatinib | | 1,3-thiazoles; aminopyrimidine; monocarboxylic acid amide; N-(2-hydroxyethyl)piperazine; N-arylpiperazine; organochlorine compound; secondary amino compound; tertiary amino compound | anticoronaviral agent; antineoplastic agent; tyrosine kinase inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
ha 1100 | | | | 2022 | 2022 | 2.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
zd 6474 | | aromatic ether; organobromine compound; organofluorine compound; piperidines; quinazolines; secondary amine | antineoplastic agent; tyrosine kinase inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
N-[2-(diethylamino)ethyl]-5-[(5-fluoro-2-oxo-1H-indol-3-ylidene)methyl]-2,4-dimethyl-1H-pyrrole-3-carboxamide | | indoles | | 2019 | 2020 | 4.5 | high | 0 | 0 | 0 | 0 | 2 | 0 |
nih-12848 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
2,4-dioxo-3-pentyl-N-[3-(1-piperidinyl)propyl]-1H-quinazoline-7-carboxamide | | quinazolines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
[1-(3-methylphenyl)-5-benzimidazolyl]-(1-piperidinyl)methanone | | benzimidazoles | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
2-[[(6-bromo-1H-imidazo[4,5-b]pyridin-2-yl)thio]methyl]benzonitrile | | imidazopyridine | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
3-[(3-fluorophenyl)methyl]-8-[4-(4-fluorophenyl)-4-oxobutyl]-1-phenyl-1,3,8-triazaspiro[4.5]decan-4-one | | aromatic ketone | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
4-[[7-[(4-fluorophenyl)methyl]-1,3-dimethyl-2,6-dioxo-8-purinyl]methyl]-1-piperazinecarboxylic acid ethyl ester | | oxopurine | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
N,N-dimethylcarbamodithioic acid (1-acetamido-2,2,2-trichloroethyl) ester | | organonitrogen compound; organosulfur compound | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
6-bromo-2-(4-methylphenyl)-N-[(1-methyl-4-pyrazolyl)methyl]-4-quinolinecarboxamide | | quinolines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
LSM-1924 | | organic heterotricyclic compound; organooxygen compound | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
ferrostatin-1 | | ethyl ester; primary arylamine; substituted aniline | antifungal agent; antioxidant; ferroptosis inhibitor; neuroprotective agent; radiation protective agent; radical scavenger | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
6-(2-methyl-1-piperidinyl)-5-nitro-4-pyrimidinamine | | C-nitro compound | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
rabeprazole(1-) | | organic nitrogen anion | | 2019 | 2020 | 4.5 | high | 0 | 0 | 0 | 0 | 2 | 0 |
ncgc00099374 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
2-nitro-4-[(6-nitro-4-quinolinyl)amino]-N-[4-(pyridin-4-ylamino)phenyl]benzamide | | benzamides | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
quercetin | | 7-hydroxyflavonol; pentahydroxyflavone | antibacterial agent; antineoplastic agent; antioxidant; Aurora kinase inhibitor; chelator; EC 1.10.99.2 [ribosyldihydronicotinamide dehydrogenase (quinone)] inhibitor; geroprotector; phytoestrogen; plant metabolite; protein kinase inhibitor; radical scavenger | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
luteolin | | 3'-hydroxyflavonoid; tetrahydroxyflavone | angiogenesis inhibitor; anti-inflammatory agent; antineoplastic agent; apoptosis inducer; c-Jun N-terminal kinase inhibitor; EC 2.3.1.85 (fatty acid synthase) inhibitor; immunomodulator; nephroprotective agent; plant metabolite; radical scavenger; vascular endothelial growth factor receptor antagonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
cyclosporine | | | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
kaempferol | | 7-hydroxyflavonol; flavonols; tetrahydroxyflavone | antibacterial agent; geroprotector; human blood serum metabolite; human urinary metabolite; human xenobiotic metabolite; plant metabolite | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
genistein | | 7-hydroxyisoflavones | antineoplastic agent; EC 5.99.1.3 [DNA topoisomerase (ATP-hydrolysing)] inhibitor; geroprotector; human urinary metabolite; phytoestrogen; plant metabolite; tyrosine kinase inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
mycophenolate mofetil | | carboxylic ester; ether; gamma-lactone; phenols; tertiary amino compound | anticoronaviral agent; EC 1.1.1.205 (IMP dehydrogenase) inhibitor; immunosuppressive agent; prodrug | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
bruceantin | | triterpenoid | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
chrysin | | 7-hydroxyflavonol; dihydroxyflavone | anti-inflammatory agent; antineoplastic agent; antioxidant; EC 2.7.11.18 (myosin-light-chain kinase) inhibitor; hepatoprotective agent; plant metabolite | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
daidzein | | 7-hydroxyisoflavones | antineoplastic agent; EC 2.7.7.7 (DNA-directed DNA polymerase) inhibitor; EC 3.2.1.20 (alpha-glucosidase) inhibitor; phytoestrogen; plant metabolite | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
neticonazole | | aromatic ether; benzenes; conazole antifungal drug; enamine; imidazole antifungal drug; imidazoles; methyl sulfide | antifungal drug; EC 1.14.13.70 (sterol 14alpha-demethylase) inhibitor | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
N-(4Z,7Z,10Z,13Z,16Z,19Z)-docosahexaenoylethanolamine | | endocannabinoid; N-acylethanolamine 22:6 | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
n-oleoylethanolamine | | endocannabinoid; N-(long-chain-acyl)ethanolamine; N-acylethanolamine 18:1 | EC 3.5.1.23 (ceramidase) inhibitor; geroprotector; PPARalpha agonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
sirolimus | | antibiotic antifungal drug; cyclic acetal; cyclic ketone; ether; macrolide lactam; organic heterotricyclic compound; secondary alcohol | antibacterial drug; anticoronaviral agent; antineoplastic agent; bacterial metabolite; geroprotector; immunosuppressive agent; mTOR inhibitor | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
alpha-zearalenol | | macrolide | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
su 9516 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
N-(4-bromo-3-methylphenyl)-2,5-dimethyl-[1,2,4]triazolo[1,5-a]pyrimidin-7-amine | | triazolopyrimidines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
sb 277011 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
sb 223412 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
sr 59230a | | tetralins | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
3-[6-[4-(trifluoromethoxy)anilino]-4-pyrimidinyl]benzamide | | pyrimidines | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
kn 62 | | piperazines | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
MeJA | | Jasmonate derivatives | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
1h-pyrrole-2,5-dione, 3-(1-methyl-1h-indol-3-yl)-4-(1-methyl-6-nitro-1h-indol-3-yl)- | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
pd 161570 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
su 11248 | | monocarboxylic acid amide; pyrroles | angiogenesis inhibitor; antineoplastic agent; EC 2.7.10.1 (receptor protein-tyrosine kinase) inhibitor; immunomodulator; neuroprotective agent; vascular endothelial growth factor receptor antagonist | 2017 | 2017 | 7.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
palbociclib | | aminopyridine; aromatic ketone; cyclopentanes; piperidines; pyridopyrimidine; secondary amino compound; tertiary amino compound | antineoplastic agent; EC 2.7.11.22 (cyclin-dependent kinase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
jnj-7706621 | | sulfonamide | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
romidepsin | | cyclodepsipeptide; heterocyclic antibiotic; organic disulfide | antineoplastic agent; EC 3.5.1.98 (histone deacetylase) inhibitor | 2017 | 2017 | 7.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
dextromethorphan | | 6-methoxy-11-methyl-1,3,4,9,10,10a-hexahydro-2H-10,4a-(epiminoethano)phenanthrene | antitussive; environmental contaminant; neurotoxin; NMDA receptor antagonist; oneirogen; prodrug; xenobiotic | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 2 | 0 |
lisinopril | | dipeptide | EC 3.4.15.1 (peptidyl-dipeptidase A) inhibitor | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
virginiamycin factor s1 | | cyclodepsipeptide; macrolide antibiotic | antibacterial drug; bacterial metabolite | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
pepstatin | | pentapeptide; secondary carboxamide | bacterial metabolite; EC 3.4.23.* (aspartic endopeptidase) inhibitor | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
fenoterol | | hydrobromide | beta-adrenergic agonist; bronchodilator agent; sympathomimetic agent | 2019 | 2020 | 4.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
xib 4035 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
gw-5074 | | | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
bafilomycin a1 | | cyclic hemiketal; macrolide antibiotic; oxanes | apoptosis inducer; autophagy inhibitor; bacterial metabolite; EC 3.6.3.10 (H(+)/K(+)-exchanging ATPase) inhibitor; EC 3.6.3.14 (H(+)-transporting two-sector ATPase) inhibitor; ferroptosis inhibitor; fungicide; potassium ionophore; toxin | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
belotecan | | pyranoindolizinoquinoline | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
norgestimate | | ketoxime; steroid ester; terminal acetylenic compound | contraceptive drug; progestin; synthetic oral contraceptive | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
b 43 | | aromatic amine; aromatic ether; cyclopentanes; primary amino compound; pyrrolopyrimidine | EC 2.7.10.2 (non-specific protein-tyrosine kinase) inhibitor; geroprotector | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
4-(2' methoxyphenyl)-1-(2'-(n-(2''-pyridinyl)-4-fluorobenzamido)ethyl)piperazine | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
methiazole | | benzimidazoles; carbamate ester | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
sb 218795 | | quinolines | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
bvt.948 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
fk 866 | | benzamides; N-acylpiperidine | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
a 38503 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
(3S,6S,9S,12R)-3-[(2S)-Butan-2-yl]-6-[(1-methoxyindol-3-yl)methyl]-9-(6-oxooctyl)-1,4,7,10-tetrazabicyclo[10.4.0]hexadecane-2,5,8,11-tetrone | | oligopeptide | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
belinostat | | hydroxamic acid; olefinic compound; sulfonamide | antineoplastic agent; EC 3.5.1.98 (histone deacetylase) inhibitor | 2017 | 2021 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 1 |
panobinostat | | cinnamamides; hydroxamic acid; methylindole; secondary amino compound | angiogenesis modulating agent; antineoplastic agent; EC 3.5.1.98 (histone deacetylase) inhibitor | 2017 | 2021 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 1 |
parthenolide | | sesquiterpene lactone | drug allergen; inhibitor; non-narcotic analgesic; non-steroidal anti-inflammatory drug; peripheral nervous system drug | 2017 | 2019 | 6.0 | medium | 0 | 0 | 0 | 0 | 2 | 0 |
krn 633 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
5-amino-4-oxo-3-phenyl-1-thieno[3,4-d]pyridazinecarboxylic acid | | organonitrogen heterocyclic compound; organosulfur heterocyclic compound | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
n-(2-amino-5-fluorobenzyl)-4-(n-(pyridine-3-acrylyl)aminomethyl)benzamide | | | | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
gw 501516 | | 1,3-thiazoles; aromatic ether; aryl sulfide; monocarboxylic acid; organofluorine compound | carcinogenic agent; PPARbeta/delta agonist | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
dolastatin 10 | | 1,3-thiazoles; tetrapeptide | animal metabolite; antineoplastic agent; apoptosis inducer; marine metabolite; microtubule-destabilising agent | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
pd 144418 | | | | 2020 | 2020 | 4.0 | medium | 0 | 0 | 0 | 0 | 1 | 0 |
spc-839 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
midostaurin | | benzamides; gamma-lactam; indolocarbazole; organic heterooctacyclic compound | antineoplastic agent; EC 2.7.11.13 (protein kinase C) inhibitor | 2017 | 2020 | 5.0 | low | 0 | 0 | 0 | 0 | 4 | 0 |
lu 28-179 | | | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
valnemulin | | | | 2019 | 2020 | 4.5 | medium | 0 | 0 | 0 | 0 | 2 | 0 |
nu 7026 | | organic heterotricyclic compound; organooxygen compound | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
osi 930 | | aromatic amide | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
ticagrelor | | aryl sulfide; hydroxyether; organofluorine compound; secondary amino compound; triazolopyrimidines | P2Y12 receptor antagonist; platelet aggregation inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
l 692585 | | peptide | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
pi103 | | aromatic amine; morpholines; organic heterotricyclic compound; phenols; tertiary amino compound | antineoplastic agent; EC 2.7.1.137 (phosphatidylinositol 3-kinase) inhibitor; mTOR inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
nnc 26-9100 | | aminopyridine | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
2-(3-chlorobenzyloxy)-6-(piperazin-1-yl)pyrazine | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
tivozanib | | aromatic ether | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
hki 272 | | nitrile; quinolines | antineoplastic agent; tyrosine kinase inhibitor | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
n-(6-chloro-7-methoxy-9h-beta-carbolin-8-yl)-2-methylnicotinamide | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
tae226 | | morpholines | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
gw0742 | | monocarboxylic acid | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
6h-thieno[3,2-f][1,2,4]triazolo[4,3-a][1,4]diazepine-6-acetamide, 4-(4-chlorophenyl)-n-(4-hydroxyphenyl)-2,3,9-trimethyl-, (6s)- | | organonitrogen heterocyclic compound; organosulfur heterocyclic compound | | 2016 | 2022 | 4.8 | low | 0 | 0 | 0 | 0 | 3 | 2 |
u 18666a | | hydrochloride | antiviral agent; EC 1.3.1.72 (Delta(24)-sterol reductase) inhibitor; Hedgehog signaling pathway inhibitor; nicotinic antagonist; sterol biosynthesis inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
sb 525334 | | quinoxaline derivative | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
bx795 | | ureas | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
pazopanib | | aminopyrimidine; indazoles; sulfonamide | angiogenesis modulating agent; antineoplastic agent; tyrosine kinase inhibitor; vascular endothelial growth factor receptor antagonist | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
azd 6244 | | benzimidazoles; bromobenzenes; hydroxamic acid ester; monochlorobenzenes; organofluorine compound; secondary amino compound | anticoronaviral agent; antineoplastic agent; EC 2.7.11.24 (mitogen-activated protein kinase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
1-(2-(1-adamantyl)ethyl)-1-pentyl-3-(3-(4-pyridyl)propyl)urea | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
cl 075 | | | | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
bay 61-3606 | | pyrimidines | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
sd-208 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
vx 702 | | phenylpyridine | | 2018 | 2018 | 6.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
crenolanib | | aminopiperidine; aromatic ether; benzimidazoles; oxetanes; quinolines; tertiary amino compound | angiogenesis inhibitor; antineoplastic agent; apoptosis inducer; EC 2.7.10.1 (receptor protein-tyrosine kinase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
cj 033466 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
cc 401 | | pyrazoles; ring assembly | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
PB28 | | aromatic ether; piperazines; tetralins | anticoronaviral agent; antineoplastic agent; apoptosis inducer; sigma-2 receptor agonist | 2017 | 2020 | 5.0 | medium | 0 | 0 | 0 | 0 | 4 | 0 |
arterolane | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
cariprazine | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
krp-203 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
regorafenib | | (trifluoromethyl)benzenes; aromatic ether; monochlorobenzenes; monofluorobenzenes; phenylureas; pyridinecarboxamide | antineoplastic agent; hepatotoxic agent; tyrosine kinase inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
at 7867 | | monochlorobenzenes; piperidines; pyrazoles | antineoplastic agent; EC 2.7.11.1 (non-specific serine/threonine protein kinase) inhibitor | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
acetic acid 2-[4-methyl-8-(4-morpholinylsulfonyl)-1,3-dioxo-2-pyrrolo[3,4-c]quinolinyl]ethyl ester | | pyrroloquinoline | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
ptc 124 | | oxadiazole; ring assembly | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
degrasyn | | | | 2019 | 2020 | 4.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
bi 2536 | | | | 2017 | 2021 | 5.3 | low | 0 | 0 | 0 | 0 | 5 | 1 |
azd 1152 | | anilide; monoalkyl phosphate; monofluorobenzenes; pyrazoles; quinazolines; secondary amino compound; secondary carboxamide; tertiary amino compound | antineoplastic agent; Aurora kinase inhibitor; prodrug | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
carfilzomib | | epoxide; morpholines; tetrapeptide | antineoplastic agent; proteasome inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
idelalisib | | aromatic amine; organofluorine compound; purines; quinazolines; secondary amino compound | antineoplastic agent; apoptosis inducer; EC 2.7.1.137 (phosphatidylinositol 3-kinase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
motesanib | | pyridinecarboxamide | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
pf-562,271 | | indoles | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
gliocladin c | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
sb 706504 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
at 13387 | | benzamides; isoindoles; N-alkylpiperazine; resorcinols; tertiary carboxamide | antineoplastic agent; Hsp90 inhibitor | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
ku-0060648 | | dibenzothiophenes | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
bgt226 | | aromatic ether; imidazoquinoline; N-arylpiperazine; organofluorine compound; pyridines | antineoplastic agent; EC 2.7.1.137 (phosphatidylinositol 3-kinase) inhibitor; mTOR inhibitor | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
n-desmethyldanofloxacin | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
rabeprazole sodium | | organic sodium salt | | 2017 | 2017 | 7.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
azd 1152-hqpa | | anilide; monofluorobenzenes; primary alcohol; pyrazoles; quinazolines; secondary amino compound; secondary carboxamide; tertiary amino compound | antineoplastic agent; Aurora kinase inhibitor | 2019 | 2020 | 4.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
CDN1163 | | aromatic ether; quinolines; secondary carboxamide | SERCA activator | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
gsk 269962a | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
pha 848125 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
tg101209 | | N-alkylpiperazine; N-arylpiperazine; pyrimidines; secondary amino compound; sulfonamide | antineoplastic agent; apoptosis inducer; EC 2.7.10.2 (non-specific protein-tyrosine kinase) inhibitor | 2017 | 2017 | 7.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
nvp-bhg712 | | benzamides | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
pf 04217903 | | quinolines | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
5-[[4-(4-acetylphenyl)-1-piperazinyl]sulfonyl]-1,3-dihydroindol-2-one | | aromatic ketone | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
ph 797804 | | aromatic ether; benzamides; organobromine compound; organofluorine compound; pyridone | anti-inflammatory agent; EC 2.7.11.24 (mitogen-activated protein kinase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
olaparib | | cyclopropanes; monofluorobenzenes; N-acylpiperazine; phthalazines | antineoplastic agent; apoptosis inducer; EC 2.4.2.30 (NAD(+) ADP-ribosyltransferase) inhibitor | 2022 | 2022 | 2.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
srt1720 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
cx 4945 | | | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
purfalcamine | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
bms 754807 | | pyrazoles; pyridines; pyrrolidines; pyrrolotriazine | antineoplastic agent; EC 2.7.10.1 (receptor protein-tyrosine kinase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
ponatinib | | (trifluoromethyl)benzenes; acetylenic compound; benzamides; imidazopyridazine; N-methylpiperazine | antineoplastic agent; tyrosine kinase inhibitor | 2017 | 2020 | 5.0 | low | 0 | 0 | 0 | 0 | 4 | 0 |
quizartinib | | benzoimidazothiazole; isoxazoles; morpholines; phenylureas | antineoplastic agent; EC 2.7.10.1 (receptor protein-tyrosine kinase) inhibitor; necroptosis inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
PP121 | | aromatic amine; cyclopentanes; pyrazolopyrimidine; pyrrolopyridine | antineoplastic agent; EC 2.7.1.137 (phosphatidylinositol 3-kinase) inhibitor; tyrosine kinase inhibitor | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
az 505 | | | | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
navitoclax | | aryl sulfide; monochlorobenzenes; morpholines; N-sulfonylcarboxamide; organofluorine compound; piperazines; secondary amino compound; sulfone; tertiary amino compound | antineoplastic agent; apoptosis inducer; B-cell lymphoma 2 inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
gsk 650394 | | phenylpyridine | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
dcc-2036 | | organofluorine compound; phenylureas; pyrazoles; pyridinecarboxamide; quinolines | tyrosine kinase inhibitor | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
cabozantinib | | aromatic ether; dicarboxylic acid diamide; organofluorine compound; quinolines | antineoplastic agent; tyrosine kinase inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
incb-018424 | | nitrile; pyrazoles; pyrrolopyrimidine | antineoplastic agent; EC 2.7.10.2 (non-specific protein-tyrosine kinase) inhibitor | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
bix 01294 | | piperidines | | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
TAK-580 | | 1,3-thiazolecarboxamide; aminopyrimidine; chloropyridine; organofluorine compound; pyrimidinecarboxamide; secondary carboxamide | antineoplastic agent; apoptosis inducer; B-Raf inhibitor | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
8-(4-aminophenyl)-2-(4-morpholinyl)-1-benzopyran-4-one | | chromones | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
pf 3758309 | | organic heterobicyclic compound; organonitrogen heterocyclic compound; organosulfur heterocyclic compound | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
(5-(2,4-bis((3s)-3-methylmorpholin-4-yl)pyrido(2,3-d)pyrimidin-7-yl)-2-methoxyphenyl)methanol | | benzyl alcohols; morpholines; pyridopyrimidine; tertiary amino compound | antineoplastic agent; apoptosis inducer; mTOR inhibitor | 2019 | 2020 | 4.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
5-(2-benzofuranyl)-4-[(1-methyl-5-tetrazolyl)thio]thieno[2,3-d]pyrimidine | | aryl sulfide; thienopyrimidine | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
5-(3-methylsulfonylphenyl)-4-[(1-methyl-5-tetrazolyl)thio]thieno[2,3-d]pyrimidine | | aryl sulfide; thienopyrimidine | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
5-bromo-4-[(1-methyl-5-tetrazolyl)thio]thieno[2,3-d]pyrimidine | | aryl sulfide; thienopyrimidine | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
baricitinib | | azetidines; nitrile; pyrazoles; pyrrolopyrimidine; sulfonamide | anti-inflammatory agent; antirheumatic drug; antiviral agent; EC 2.7.10.2 (non-specific protein-tyrosine kinase) inhibitor; immunosuppressive agent | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
6-(1,3-benzodioxol-5-yl)-N-methyl-N-(thiophen-2-ylmethyl)-4-quinazolinamine | | quinazolines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
6-[(3-aminophenyl)methyl]-4-methyl-2-methylsulfinyl-5-thieno[3,4]pyrrolo[1,3-d]pyridazinone | | organic heterobicyclic compound; organonitrogen heterocyclic compound; organosulfur heterocyclic compound | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
e-52862 | | | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
N-[(5-bromo-8-hydroxy-7-quinolinyl)-thiophen-2-ylmethyl]acetamide | | hydroxyquinoline | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
p505-15 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
mrt67307 | | aromatic amine | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
au-1 | | | | 2016 | 2016 | 8.0 | medium | 0 | 0 | 0 | 0 | 1 | 0 |
N-[3-[[5-chloro-2-[4-(4-methyl-1-piperazinyl)anilino]-4-pyrimidinyl]oxy]phenyl]-2-propenamide | | piperazines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
ribociclib | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
1-[3-[4-[(1-methyl-5-tetrazolyl)thio]-5-thieno[2,3-d]pyrimidinyl]phenyl]ethanone | | aromatic ketone; thienopyrimidine | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
5-(4-amino-1-propan-2-yl-3-pyrazolo[3,4-d]pyrimidinyl)-1,3-benzoxazol-2-amine | | benzoxazole | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
pha 793887 | | piperidinecarboxamide | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
gsk 2334470 | | indazoles | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
unc 0638 | | quinazolines | | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
ml228 probe | | 1,2,4-triazines; biphenyls; pyridines; secondary amino compound | hypoxia-inducible factor pathway activator | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
pf-03882845 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
jq1 compound | | carboxylic ester; organochlorine compound; tert-butyl ester; thienotriazolodiazepine | angiogenesis inhibitor; anti-inflammatory agent; antineoplastic agent; apoptosis inducer; bromodomain-containing protein 4 inhibitor; cardioprotective agent; ferroptosis inducer | 2015 | 2022 | 5.5 | high | 0 | 0 | 0 | 0 | 19 | 3 |
pf-04620110 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
gsk525762a | | benzodiazepine | | 2016 | 2020 | 6.4 | low | 0 | 0 | 0 | 0 | 8 | 0 |
ML240 | | aromatic amine; aromatic ether; benzimidazoles; primary amino compound; quinazolines; secondary amino compound | antineoplastic agent | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
birinapant | | dipeptide | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
torin 1 | | N-acylpiperazine; N-arylpiperazine; organofluorine compound; pyridoquinoline; quinolines | antineoplastic agent; mTOR inhibitor | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
abt-199 | | aromatic ether; C-nitro compound; monochlorobenzenes; N-alkylpiperazine; N-arylpiperazine; N-sulfonylcarboxamide; oxanes; pyrrolopyridine | antineoplastic agent; apoptosis inducer; B-cell lymphoma 2 inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
1-[4-fluoro-3-(trifluoromethyl)phenyl]-3-(5-pyridin-4-yl-1,3,4-thiadiazol-2-yl)urea | | ureas | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
N-(4-methyl-2-pyridinyl)-4-[3-(trifluoromethyl)anilino]-1-piperidinecarbothioamide | | (trifluoromethyl)benzenes | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
LSM-6732 | | organonitrogen heterocyclic compound; organosulfur heterocyclic compound; tert-butyl ester | | 2017 | 2017 | 7.0 | medium | 0 | 0 | 0 | 0 | 1 | 0 |
ncgc00242364 | | quinazolines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
gsk1210151a | | imidazoquinoline | | 2015 | 2020 | 6.7 | low | 0 | 0 | 0 | 0 | 6 | 0 |
i-bet726 | | | | 2017 | 2018 | 6.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
hs-173 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
sr1664 | | indolecarboxamide | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
4-(3-chloro-5-(trifluoromethyl)pyridin-2-yl)-n-(4-methoxypyridin-2-yl)piperazine-1-carbothioamide | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
N-[4-(1-benzoyl-4-piperidinyl)butyl]-3-(3-pyridinyl)-2-propenamide | | benzamides; N-acylpiperidine | | 2017 | 2020 | 5.5 | high | 0 | 0 | 0 | 0 | 2 | 0 |
N-[4-[3-chloro-4-(2-pyridinylmethoxy)anilino]-3-cyano-7-ethoxy-6-quinolinyl]-4-(dimethylamino)-2-butenamide | | aminoquinoline | | 2017 | 2020 | 5.5 | high | 0 | 0 | 0 | 0 | 2 | 0 |
cudc-907 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
methacycline | | | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
methacycline monohydrochloride | | | | 2017 | 2020 | 5.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
2-[[[4-hydroxy-2-oxo-1-(phenylmethyl)-3-quinolinyl]-oxomethyl]amino]acetic acid | | quinolines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
agi-5198 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
cep-32496 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
epz004777 | | N-glycosyl compound | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
3-[[2-(2-pyridinyl)-6-(1,2,4,5-tetrahydro-3-benzazepin-3-yl)-4-pyrimidinyl]amino]propanoic acid | | organonitrogen heterocyclic compound | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
entecavir | | benzamides; N-acylpiperidine | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
pelabresib | | monochlorobenzenes; organic heterotricyclic compound; primary carboxamide | antineoplastic agent; bromodomain-containing protein 4 inhibitor | 2019 | 2022 | 3.7 | medium | 0 | 0 | 0 | 0 | 2 | 1 |
gkt137831 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
vx-509 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
vx-970 | | sulfonamide | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
gs-9973 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
amg 925 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
epz-6438 | | | | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
sf 1126 | | | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
gne-618 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
g007-lk | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
volitinib | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
ML355 | | benzothiazoles; monomethoxybenzene; phenols; secondary amino compound; substituted aniline; sulfonamide | EC 1.13.11.31 (arachidonate 12-lipoxygenase) inhibitor; platelet aggregation inhibitor | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
acp-196 | | aromatic amine; benzamides; imidazopyrazine; pyridines; pyrrolidinecarboxamide; secondary carboxamide; tertiary carboxamide; ynone | antineoplastic agent; apoptosis inducer; EC 2.7.10.2 (non-specific protein-tyrosine kinase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
gsk343 | | aminopyridine; indazoles; N-alkylpiperazine; N-arylpiperazine; pyridone; secondary carboxamide | antineoplastic agent; apoptosis inducer; EC 2.1.1.43 (enhancer of zeste homolog 2) inhibitor | 2017 | 2021 | 4.8 | low | 0 | 0 | 0 | 0 | 3 | 1 |
2-methoxy-n-(3-methyl-2-oxo-1,2,3,4-tetrahydroquinazolin-6-yl)benzenesulfonamide | | quinazolines | | 2016 | 2021 | 5.3 | medium | 0 | 0 | 0 | 0 | 2 | 1 |
agi-6780 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
khs101 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
cb-839 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
gsk-j4 | | organonitrogen heterocyclic compound | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
pf-06424439 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
etp-46464 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
onc201 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
kai407 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
pf-06687252 | | azabicycloalkane; enone; phenols; pyridines | | 2016 | 2016 | 8.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
6,7-dimethoxy-2-(pyrrolidin-1-yl)-n-(5-(pyrrolidin-1-yl)pentyl)quinazolin-4-amine | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
PF-06446846 | | benzamides; monochloropyridine; piperidines; tertiary carboxamide; triazolopyridine | antilipemic drug; EC 3.4.21.61 (kexin) inhibitor | 2020 | 2020 | 4.0 | medium | 0 | 0 | 0 | 0 | 1 | 0 |
enasidenib | | 1,3,5-triazines; aminopyridine; aromatic amine; organofluorine compound; secondary amino compound; tertiary alcohol | antineoplastic agent; EC 1.1.1.42 (isocitrate dehydrogenase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
oicr-9429 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
lly-507 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
dBET6 | | organic molecular entity | | 2020 | 2020 | 4.0 | medium | 0 | 0 | 0 | 0 | 1 | 0 |
MZ1 | | organic molecular entity | | 2020 | 2020 | 4.0 | medium | 0 | 0 | 0 | 0 | 1 | 0 |
AZ3451 | | benzimidazoles; benzodioxoles; nitrile; organobromine compound; secondary carboxamide | anti-inflammatory agent; autophagy inducer; PAR2 negative allosteric modulator | 2020 | 2020 | 4.0 | medium | 0 | 0 | 0 | 0 | 1 | 0 |
at 9283 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
hypoxanthine | | nucleobase analogue; oxopurine; purine nucleobase | fundamental metabolite | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
clozapine | | benzodiazepine; N-arylpiperazine; N-methylpiperazine; organochlorine compound | adrenergic antagonist; dopaminergic antagonist; EC 3.4.21.26 (prolyl oligopeptidase) inhibitor; environmental contaminant; GABA antagonist; histamine antagonist; muscarinic antagonist; second generation antipsychotic; serotonergic antagonist; xenobiotic | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
olanzapine | | benzodiazepine; N-arylpiperazine; N-methylpiperazine | antiemetic; dopaminergic antagonist; histamine antagonist; muscarinic antagonist; second generation antipsychotic; serotonergic antagonist; serotonin uptake inhibitor | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
1-hydroxyphenazine | | phenazines | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
ro 24-7429 | | benzodiazepine | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
nintedanib | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
n'-(3,4-dihydroxybenzylidene)-3-hydroxy-2-naphthahydrazide | | catechols; hydrazide; hydrazone; naphthols | EC 3.6.5.5 (dynamin GTPase) inhibitor | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
ver 52296 | | aromatic amide; isoxazoles; monocarboxylic acid amide; morpholines; resorcinols | angiogenesis inhibitor; antineoplastic agent; Hsp90 inhibitor | 2017 | 2020 | 5.0 | low | 0 | 0 | 0 | 0 | 4 | 0 |
bmn 673 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
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Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.Nature, , Volume: 583, Issue:7816, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
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Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.Nature, , Volume: 583, Issue:7816, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.Nature, , Volume: 583, Issue:7816, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
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Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
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Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.Nature, , Volume: 583, Issue:7816, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.Nature, , Volume: 583, Issue:7816, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
CRCM5484: A BET-BDII Selective Compound with Differential Anti-leukemic Drug Modulation.Journal of medicinal chemistry, , 04-14, Volume: 65, Issue:7, 2022
Drug Discovery Targeting Bromodomain-Containing Protein 4.Journal of medicinal chemistry, , 06-08, Volume: 60, Issue:11, 2017
Disrupting Acetyl-Lysine Recognition: Progress in the Development of Bromodomain Inhibitors.Journal of medicinal chemistry, , Feb-25, Volume: 59, Issue:4, 2016
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.Nature, , Volume: 583, Issue:7816, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor.Journal of medicinal chemistry, , 10-25, Volume: 61, Issue:20, 2018
Drug Discovery Targeting Bromodomain-Containing Protein 4.Journal of medicinal chemistry, , 06-08, Volume: 60, Issue:11, 2017
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.Nature, , Volume: 583, Issue:7816, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Discovery, X-ray Crystallography, and Anti-inflammatory Activity of Bromodomain-containing Protein 4 (BRD4) BD1 Inhibitors Targeting a Distinct New Binding Site.Journal of medicinal chemistry, , 02-10, Volume: 65, Issue:3, 2022
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.Nature, , Volume: 583, Issue:7816, 2020
Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation.Journal of medicinal chemistry, , 05-28, Volume: 63, Issue:10, 2020
Discovery of Thieno[2,3-Journal of medicinal chemistry, , 04-09, Volume: 63, Issue:7, 2020
Discovery of Benzo[Journal of medicinal chemistry, , 12-26, Volume: 62, Issue:24, 2019
Design, synthesis and biological evaluation of 3,5-dimethylisoxazole and pyridone derivatives as BRD4 inhibitors.Bioorganic & medicinal chemistry letters, , 10-01, Volume: 29, Issue:19, 2019
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Binding pocket-based design, synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors.Bioorganic & medicinal chemistry, , 05-01, Volume: 27, Issue:9, 2019
Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase-Bromodomain Inhibitor.Journal of medicinal chemistry, , 10-25, Volume: 61, Issue:20, 2018
Discovery of Tetrahydroquinoxalines as Bromodomain and Extra-Terminal Domain (BET) Inhibitors with Selectivity for the Second Bromodomain.Journal of medicinal chemistry, , 05-24, Volume: 61, Issue:10, 2018
Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors.Bioorganic & medicinal chemistry, , 01-01, Volume: 26, Issue:1, 2018
Structure-based design, synthesis and in vitro antiproliferative effects studies of novel dual BRD4/HDAC inhibitors.Bioorganic & medicinal chemistry letters, , 09-01, Volume: 27, Issue:17, 2017
Drug Discovery Targeting Bromodomain-Containing Protein 4.Journal of medicinal chemistry, , 06-08, Volume: 60, Issue:11, 2017
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Discovery of Benzo[cd]indol-2(1H)-ones as Potent and Specific BET Bromodomain Inhibitors: Structure-Based Virtual Screening, Optimization, and Biological Evaluation.Journal of medicinal chemistry, , Feb-25, Volume: 59, Issue:4, 2016
Disrupting Acetyl-Lysine Recognition: Progress in the Development of Bromodomain Inhibitors.Journal of medicinal chemistry, , Feb-25, Volume: 59, Issue:4, 2016
Discovery and structure-activity relationship studies of N6-benzoyladenine derivatives as novel BRD4 inhibitors.Bioorganic & medicinal chemistry, , Mar-01, Volume: 23, Issue:5, 2015
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors.Bioorganic & medicinal chemistry, , 01-01, Volume: 26, Issue:1, 2018
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Discovery of Benzo[cd]indol-2(1H)-ones as Potent and Specific BET Bromodomain Inhibitors: Structure-Based Virtual Screening, Optimization, and Biological Evaluation.Journal of medicinal chemistry, , Feb-25, Volume: 59, Issue:4, 2016
Disrupting Acetyl-Lysine Recognition: Progress in the Development of Bromodomain Inhibitors.Journal of medicinal chemistry, , Feb-25, Volume: 59, Issue:4, 2016
New Synthetic Routes to Triazolo-benzodiazepine Analogues: Expanding the Scope of the Bump-and-Hole Approach for Selective Bromo and Extra-Terminal (BET) Bromodomain Inhibition.Journal of medicinal chemistry, , Feb-25, Volume: 59, Issue:4, 2016
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Structure-based design, synthesis and in vitro antiproliferative effects studies of novel dual BRD4/HDAC inhibitors.Bioorganic & medicinal chemistry letters, , 09-01, Volume: 27, Issue:17, 2017
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Disrupting Acetyl-Lysine Recognition: Progress in the Development of Bromodomain Inhibitors.Journal of medicinal chemistry, , Feb-25, Volume: 59, Issue:4, 2016
Discovery and structure-activity relationship studies of N6-benzoyladenine derivatives as novel BRD4 inhibitors.Bioorganic & medicinal chemistry, , Mar-01, Volume: 23, Issue:5, 2015
Discovery of Tetrahydroquinoxalines as Bromodomain and Extra-Terminal Domain (BET) Inhibitors with Selectivity for the Second Bromodomain.Journal of medicinal chemistry, , 05-24, Volume: 61, Issue:10, 2018
Exploiting a water network to achieve enthalpy-driven, bromodomain-selective BET inhibitors.Bioorganic & medicinal chemistry, , 01-01, Volume: 26, Issue:1, 2018
Structure-based design, synthesis and in vitro antiproliferative effects studies of novel dual BRD4/HDAC inhibitors.Bioorganic & medicinal chemistry letters, , 09-01, Volume: 27, Issue:17, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
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Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
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Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
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Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Condition | Indicated | Studies | First Year | Last Year | Average Age | Relationship Strength | Trials | pre-1990 | 1990's | 2000's | 2010's | post-2020 |
2019 Novel Coronavirus Disease | 0 | | 2020 | 2023 | 2.7 | low | 0 | 0 | 0 | 0 | 1 | 2 |
Acute Confusional Senile Dementia | 0 | | 2011 | 2011 | 13.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Acute Coronary Syndrome | 0 | | 2011 | 2021 | 5.0 | low | 5 | 0 | 0 | 0 | 4 | 3 |
Acute Disease | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Adjuvant Arthritis | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
alpha-Galactosidase A Deficiency | 0 | | 2022 | 2022 | 2.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Alveolar Bone Atrophy | 0 | | 2023 | 2023 | 1.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Alzheimer Disease | 0 | | 2011 | 2011 | 13.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Angiitis | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Aortic Diseases | 0 | | 2014 | 2014 | 10.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Apoplexy | 0 | | 2019 | 2020 | 4.5 | low | 2 | 0 | 0 | 0 | 2 | 0 |
Arteriosclerosis, Coronary | 0 | | 2011 | 2019 | 10.7 | low | 4 | 0 | 0 | 0 | 6 | 0 |
Arthritis, Gouty | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Atherogenesis | 0 | | 2011 | 2022 | 8.3 | low | 1 | 0 | 0 | 0 | 8 | 1 |
Atheroma | 0 | | 2012 | 2019 | 8.5 | low | 3 | 0 | 0 | 0 | 4 | 0 |
Atherosclerosis | 0 | | 2011 | 2022 | 8.3 | low | 1 | 0 | 0 | 0 | 8 | 1 |
Benign Neoplasms | 0 | | 2022 | 2022 | 2.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Blood Poisoning | 0 | | 2022 | 2022 | 2.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Breast Cancer | 0 | | 2017 | 2018 | 6.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
Breast Neoplasms | 0 | | 2017 | 2018 | 6.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
Cardiac Diseases | 0 | | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Cardiac Failure | 0 | | 2021 | 2021 | 3.0 | low | 2 | 0 | 0 | 0 | 0 | 3 |
Cardiovascular Diseases | 0 | | 2010 | 2023 | 5.5 | medium | 4 | 0 | 0 | 1 | 17 | 4 |
Cardiovascular Stroke | 0 | | 2019 | 2020 | 4.5 | low | 2 | 0 | 0 | 0 | 2 | 0 |
Chronic Kidney Diseases | 0 | | 2018 | 2021 | 4.5 | low | 3 | 0 | 0 | 0 | 3 | 1 |
Cognitive Decline | 0 | | 2021 | 2021 | 3.0 | low | 1 | 0 | 0 | 0 | 0 | 1 |
Cognitive Dysfunction | 0 | | 2021 | 2021 | 3.0 | low | 1 | 0 | 0 | 0 | 0 | 1 |
Colorectal Cancer | 0 | | 2018 | 2020 | 5.0 | low | 0 | 0 | 0 | 0 | 2 | 0 |
Colorectal Neoplasms | 0 | | 2018 | 2020 | 5.0 | low | 0 | 0 | 0 | 0 | 2 | 0 |
Complications of Diabetes Mellitus | 0 | | 2021 | 2021 | 3.0 | low | 1 | 0 | 0 | 0 | 0 | 1 |
Congenital Zika Syndrome | 0 | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Coronary Artery Disease | 0 | | 2011 | 2019 | 10.7 | low | 4 | 0 | 0 | 0 | 6 | 0 |
Coronavirus Infections | 0 | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Cytokine Release Syndrome | 0 | | 2023 | 2023 | 1.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Diabetes Mellitus, Adult-Onset | 0 | | 2019 | 2023 | 3.2 | low | 5 | 0 | 0 | 0 | 5 | 5 |
Diabetes Mellitus, Type 2 | 0 | | 2019 | 2023 | 3.2 | low | 5 | 0 | 0 | 0 | 5 | 5 |
Diabetic Angiopathies | 0 | | 2019 | 2019 | 5.0 | low | 1 | 0 | 0 | 0 | 1 | 0 |
Diabetic Glomerulosclerosis | 0 | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Diabetic Nephropathies | 0 | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Disease Exacerbation | 0 | | 2016 | 2016 | 8.0 | low | 1 | 0 | 0 | 0 | 1 | 0 |
Disease Models, Animal | 0 | | 2010 | 2020 | 6.8 | low | 1 | 0 | 0 | 1 | 3 | 0 |
Diseases, Metabolic | 0 | | 2015 | 2015 | 9.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Dyslipidemia | 0 | | 2012 | 2015 | 10.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
Dyslipidemias | 0 | | 2012 | 2015 | 10.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
Endotoxemia | 0 | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
ER-Negative PR-Negative HER2-Negative Breast Cancer | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Fabry Disease | 1 | | 2022 | 2022 | 2.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Familial Primary Pulmonary Hypertension | 0 | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Gouty Arthritis | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Heart Diseases | 0 | | 2021 | 2021 | 3.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Heart Failure | 0 | | 2021 | 2021 | 3.0 | low | 2 | 0 | 0 | 0 | 0 | 3 |
Heritable Pulmonary Arterial Hypertension | 0 | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
HIV Coinfection | 0 | | 2017 | 2021 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 1 |
HIV Infections | 0 | | 2017 | 2021 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 1 |
Hyperlipemia | 0 | | 2014 | 2014 | 10.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Hyperlipidemias | 0 | | 2014 | 2014 | 10.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Infections, Coronavirus | 0 | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Inflammation | 0 | | 2014 | 2023 | 3.3 | low | 0 | 0 | 0 | 0 | 4 | 7 |
Innate Inflammatory Response | 0 | | 2014 | 2023 | 3.3 | low | 0 | 0 | 0 | 0 | 4 | 7 |
Invasiveness, Neoplasm | 0 | | 2018 | 2018 | 6.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Kahler Disease | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Leucocythaemia | 0 | | 2014 | 2019 | 7.0 | low | 0 | 0 | 0 | 0 | 4 | 0 |
Leukemia | 0 | | 2014 | 2019 | 7.0 | low | 0 | 0 | 0 | 0 | 4 | 0 |
Metabolic Diseases | 0 | | 2015 | 2015 | 9.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Multiple Myeloma | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Myocardial Infarction | 0 | | 2019 | 2020 | 4.5 | low | 2 | 0 | 0 | 0 | 2 | 0 |
Neoplasms | 0 | | 2022 | 2022 | 2.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Obesity | 0 | | 2023 | 2023 | 1.0 | low | 0 | 0 | 0 | 0 | 0 | 2 |
Pericementitis | 0 | | 2023 | 2023 | 1.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Periodontitis | 0 | | 2023 | 2023 | 1.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Pneumonia, Viral | 0 | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Prediabetes | 0 | | 2016 | 2016 | 8.0 | low | 1 | 0 | 0 | 0 | 1 | 0 |
Prediabetic State | 0 | | 2016 | 2016 | 8.0 | low | 1 | 0 | 0 | 0 | 1 | 0 |
Pulmonary Arterial Hypertension | 0 | | 2019 | 2020 | 4.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
Pulmonary Arterial Remodeling | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Recrudescence | 0 | | 2021 | 2021 | 3.0 | low | 1 | 0 | 0 | 0 | 0 | 1 |
Renal Insufficiency, Chronic | 1 | | 2018 | 2021 | 4.5 | low | 3 | 0 | 0 | 0 | 3 | 1 |
Sepsis | 0 | | 2022 | 2022 | 2.0 | low | 0 | 0 | 0 | 0 | 0 | 1 |
Stroke | 0 | | 2019 | 2020 | 4.5 | low | 2 | 0 | 0 | 0 | 2 | 0 |
Triple Negative Breast Neoplasms | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Vascular Calcification | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Vasculitis | 0 | | 2019 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
Zika Virus Infection | 0 | | 2020 | 2020 | 4.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
More Insights into the Association between RVX-208 and Pulmonary Arterial Hypertension.American journal of respiratory and critical care medicine, , 02-01, Volume: 201, Issue:3, 2020
Reply to Ning American journal of respiratory and critical care medicine, , 02-01, Volume: 201, Issue:3, 2020
Multicenter Preclinical Validation of BET Inhibition for the Treatment of Pulmonary Arterial Hypertension.American journal of respiratory and critical care medicine, , 10-01, Volume: 200, Issue:7, 2019
Rvx 208.Drugs in R&D, , Volume: 11, Issue:2, 2011
Epigenetic BET reader inhibitor apabetalone (RVX-208) counters proinflammatory aortic gene expression in a diet induced obesity mouse model and in human endothelial cells.Atherosclerosis, , Volume: 364, 2023
Cognitive Effects of the BET Protein Inhibitor Apabetalone: A Prespecified Montreal Cognitive Assessment Analysis Nested in the BETonMACE Randomized Controlled Trial.Journal of Alzheimer's disease : JAD, , Volume: 83, Issue:4, 2021
Effect of Apabetalone on Cardiovascular Events in Diabetes, CKD, and Recent Acute Coronary Syndrome: Results from the BETonMACE Randomized Controlled Trial.Clinical journal of the American Society of Nephrology : CJASN, , 05-08, Volume: 16, Issue:5, 2021
Effect of Apabetalone Added to Standard Therapy on Major Adverse Cardiovascular Events in Patients With Recent Acute Coronary Syndrome and Type 2 Diabetes: A Randomized Clinical Trial.JAMA, , 04-28, Volume: 323, Issue:16, 2020
Pharmacologic epigenetic modulators of alkaline phosphatase in chronic kidney disease.Current opinion in nephrology and hypertension, , Volume: 29, Issue:1, 2020
Epigenetic Therapeutics for Cardiovascular Disease: Writing, Erasing, Reading, and Maybe Forgetting.JAMA, , 04-28, Volume: 323, Issue:16, 2020
BET Epigenetic Reader Proteins in Cardiovascular Transcriptional Programs.Circulation research, , 04-24, Volume: 126, Issue:9, 2020
Apabetalone - BET protein inhibition in cardiovascular disease and Type 2 diabetes.Future cardiology, , Volume: 16, Issue:5, 2020
BET protein inhibitor apabetalone (RVX-208) suppresses pro-inflammatory hyper-activation of monocytes from patients with cardiovascular disease and type 2 diabetes.Clinical epigenetics, , 11-11, Volume: 12, Issue:1, 2020
Epigenetic Modulation by Apabetalone Counters Cytokine-Driven Acute Phase Response Cardiovascular therapeutics, , Volume: 2020, 2020
How Might Bromodomain and Extra-Terminal (BET) Inhibitors Operate in Cardiovascular Disease?American journal of cardiovascular drugs : drugs, devices, and other interventions, , Volume: 19, Issue:2, 2019
Apabetalone downregulates factors and pathways associated with vascular calcification.Atherosclerosis, , Volume: 280, 2019
Apabetalone (RVX-208) reduces vascular inflammation in vitro and in CVD patients by a BET-dependent epigenetic mechanism.Clinical epigenetics, , 07-12, Volume: 11, Issue:1, 2019
Apabetalone lowers serum alkaline phosphatase and improves cardiovascular risk in patients with cardiovascular disease.Atherosclerosis, , Volume: 290, 2019
Apabetalone Mediated Epigenetic Modulation is Associated with Favorable Kidney Function and Alkaline Phosphatase Profile in Patients with Chronic Kidney Disease.Kidney & blood pressure research, , Volume: 43, Issue:2, 2018
Downregulation of the Complement Cascade In Vitro, in Mice and in Patients with Cardiovascular Disease by the BET Protein Inhibitor Apabetalone (RVX-208).Journal of cardiovascular translational research, , Volume: 10, Issue:4, 2017
Evaluation of HDL-modulating interventions for cardiovascular risk reduction using a systems pharmacology approach.Journal of lipid research, , Volume: 57, Issue:1, 2016
RVX-208, a BET-inhibitor for treating atherosclerotic cardiovascular disease, raises ApoA-I/HDL and represses pathways that contribute to cardiovascular disease.Atherosclerosis, , Volume: 247, 2016
Emerging small molecule drugs.Handbook of experimental pharmacology, , Volume: 224, 2015
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RVX-208, a stimulator of apolipoprotein AI gene expression for the treatment of cardiovascular diseases.Current opinion in investigational drugs (London, England : 2000), , Volume: 11, Issue:3, 2010
The Effect of Bromodomain and Extra-Terminal Inhibitor Apabetalone on Attenuated Coronary Atherosclerotic Plaque: Insights from the ASSURE Trial.American journal of cardiovascular drugs : drugs, devices, and other interventions, , Volume: 19, Issue:1, 2019
Effect of the BET Protein Inhibitor, RVX-208, on Progression of Coronary Atherosclerosis: Results of the Phase 2b, Randomized, Double-Blind, Multicenter, ASSURE Trial.American journal of cardiovascular drugs : drugs, devices, and other interventions, , Volume: 16, Issue:1, 2016
ApoA-I induction as a potential cardioprotective strategy: rationale for the SUSTAIN and ASSURE studies.Cardiovascular drugs and therapy, , Volume: 26, Issue:2, 2012
Atherosclerosis: targeting endogenous apo A-I--a new approach for raising HDL.Nature reviews. Cardiology, , Volume: 8, Issue:4, 2011
Efficacy and safety of a novel oral inducer of apolipoprotein a-I synthesis in statin-treated patients with stable coronary artery disease a randomized controlled trial.Journal of the American College of Cardiology, , Mar-01, Volume: 57, Issue:9, 2011
Apolipoprotein A-I therapy promise, challenges, and disappointment.Journal of the American College of Cardiology, , Mar-01, Volume: 57, Issue:9, 2011
Epigenetic BET reader inhibitor apabetalone (RVX-208) counters proinflammatory aortic gene expression in a diet induced obesity mouse model and in human endothelial cells.Atherosclerosis, , Volume: 364, 2023
Effect of Apabetalone on Cardiovascular Events in Diabetes, CKD, and Recent Acute Coronary Syndrome: Results from the BETonMACE Randomized Controlled Trial.Clinical journal of the American Society of Nephrology : CJASN, , 05-08, Volume: 16, Issue:5, 2021
Relation of insulin treatment for type 2 diabetes to the risk of major adverse cardiovascular events after acute coronary syndrome: an analysis of the BETonMACE randomized clinical trial.Cardiovascular diabetology, , 06-22, Volume: 20, Issue:1, 2021
Apabetalone and hospitalization for heart failure in patients following an acute coronary syndrome: a prespecified analysis of the BETonMACE study.Cardiovascular diabetology, , 01-07, Volume: 20, Issue:1, 2021
Epigenetic Therapeutics for Cardiovascular Disease: Writing, Erasing, Reading, and Maybe Forgetting.JAMA, , 04-28, Volume: 323, Issue:16, 2020
Effect of Apabetalone Added to Standard Therapy on Major Adverse Cardiovascular Events in Patients With Recent Acute Coronary Syndrome and Type 2 Diabetes: A Randomized Clinical Trial.JAMA, , 04-28, Volume: 323, Issue:16, 2020
BET protein inhibitor apabetalone (RVX-208) suppresses pro-inflammatory hyper-activation of monocytes from patients with cardiovascular disease and type 2 diabetes.Clinical epigenetics, , 11-11, Volume: 12, Issue:1, 2020
Apabetalone - BET protein inhibition in cardiovascular disease and Type 2 diabetes.Future cardiology, , Volume: 16, Issue:5, 2020
Effect of selective BET protein inhibitor apabetalone on cardiovascular outcomes in patients with acute coronary syndrome and diabetes: Rationale, design, and baseline characteristics of the BETonMACE trial.American heart journal, , Volume: 217, 2019
Effect of Apabetalone on Cardiovascular Events in Diabetes, CKD, and Recent Acute Coronary Syndrome: Results from the BETonMACE Randomized Controlled Trial.Clinical journal of the American Society of Nephrology : CJASN, , 05-08, Volume: 16, Issue:5, 2021
Apabetalone and hospitalization for heart failure in patients following an acute coronary syndrome: a prespecified analysis of the BETonMACE study.Cardiovascular diabetology, , 01-07, Volume: 20, Issue:1, 2021
Epigenetic Therapies for Heart Failure: Current Insights and Future Potential.Vascular health and risk management, , Volume: 17, 2021
Selective BET inhibitor RVX-208 ameliorates periodontal inflammation and bone loss.Journal of clinical periodontology, , Volume: 50, Issue:12, 2023
Epigenetic BET reader inhibitor apabetalone (RVX-208) counters proinflammatory aortic gene expression in a diet induced obesity mouse model and in human endothelial cells.Atherosclerosis, , Volume: 364, 2023
Dual mechanism: Epigenetic inhibitor apabetalone reduces SARS-CoV-2 Delta and Omicron variant spike binding and attenuates SARS-CoV-2 RNA induced inflammation.International immunopharmacology, , Volume: 117, 2023
Small Molecule BRD4 Inhibitors Apabetalone and JQ1 Rescues Endothelial Cells Dysfunction, Protects Monolayer Integrity and Reduces Midkine Expression.Molecules (Basel, Switzerland), , Nov-02, Volume: 27, Issue:21, 2022
Inhibition of epigenetic reader proteins by apabetalone counters inflammation in activated innate immune cells from Fabry disease patients receiving enzyme replacement therapy.Pharmacology research & perspectives, , Volume: 10, Issue:3, 2022
BET inhibition blocks inflammation-induced cardiac dysfunction and SARS-CoV-2 infection.Cell, , 04-15, Volume: 184, Issue:8, 2021
BET protein inhibitor apabetalone (RVX-208) suppresses pro-inflammatory hyper-activation of monocytes from patients with cardiovascular disease and type 2 diabetes.Clinical epigenetics, , 11-11, Volume: 12, Issue:1, 2020
Multicenter Preclinical Validation of BET Inhibition for the Treatment of Pulmonary Arterial Hypertension.American journal of respiratory and critical care medicine, , 10-01, Volume: 200, Issue:7, 2019
Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation.European journal of medicinal chemistry, , May-10, Volume: 151, 2018
A novel BET bromodomain inhibitor, RVX-208, shows reduction of atherosclerosis in hyperlipidemic ApoE deficient mice.Atherosclerosis, , Volume: 236, Issue:1, 2014
Rational design of 5-((1H-imidazol-1-yl)methyl)quinolin-8-ol derivatives as novel bromodomain-containing protein 4 inhibitors.European journal of medicinal chemistry, , Feb-01, Volume: 163, 2019
Design, synthesis and biological evaluation of 3,5-dimethylisoxazole and pyridone derivatives as BRD4 inhibitors.Bioorganic & medicinal chemistry letters, , 10-01, Volume: 29, Issue:19, 2019
Discovery of Benzo[cd]indol-2(1H)-ones as Potent and Specific BET Bromodomain Inhibitors: Structure-Based Virtual Screening, Optimization, and Biological Evaluation.Journal of medicinal chemistry, , Feb-25, Volume: 59, Issue:4, 2016
Targeting the BET family for the treatment of leukemia.Epigenomics, , Volume: 6, Issue:2, 2014
Effect of Apabetalone Added to Standard Therapy on Major Adverse Cardiovascular Events in Patients With Recent Acute Coronary Syndrome and Type 2 Diabetes: A Randomized Clinical Trial.JAMA, , 04-28, Volume: 323, Issue:16, 2020
Effect of selective BET protein inhibitor apabetalone on cardiovascular outcomes in patients with acute coronary syndrome and diabetes: Rationale, design, and baseline characteristics of the BETonMACE trial.American heart journal, , Volume: 217, 2019
Discovery of Thieno[2,3-Journal of medicinal chemistry, , 04-09, Volume: 63, Issue:7, 2020
ABCA1 overexpression worsens colorectal cancer prognosis by facilitating tumour growth and caveolin-1-dependent invasiveness, and these effects can be ameliorated using the BET inhibitor apabetalone.Molecular oncology, , Volume: 12, Issue:10, 2018
Effect of Apabetalone Added to Standard Therapy on Major Adverse Cardiovascular Events in Patients With Recent Acute Coronary Syndrome and Type 2 Diabetes: A Randomized Clinical Trial.JAMA, , 04-28, Volume: 323, Issue:16, 2020
Effect of selective BET protein inhibitor apabetalone on cardiovascular outcomes in patients with acute coronary syndrome and diabetes: Rationale, design, and baseline characteristics of the BETonMACE trial.American heart journal, , Volume: 217, 2019
Small Molecule BRD4 Inhibitors Apabetalone and JQ1 Rescues Endothelial Cells Dysfunction, Protects Monolayer Integrity and Reduces Midkine Expression.Molecules (Basel, Switzerland), , Nov-02, Volume: 27, Issue:21, 2022
BET protein inhibitor apabetalone (RVX-208) suppresses pro-inflammatory hyper-activation of monocytes from patients with cardiovascular disease and type 2 diabetes.Clinical epigenetics, , 11-11, Volume: 12, Issue:1, 2020
The Effect of Bromodomain and Extra-Terminal Inhibitor Apabetalone on Attenuated Coronary Atherosclerotic Plaque: Insights from the ASSURE Trial.American journal of cardiovascular drugs : drugs, devices, and other interventions, , Volume: 19, Issue:1, 2019
RVX-208, a BET-inhibitor for treating atherosclerotic cardiovascular disease, raises ApoA-I/HDL and represses pathways that contribute to cardiovascular disease.Atherosclerosis, , Volume: 247, 2016
An evaluation of RVX-208 for the treatment of atherosclerosis.Expert opinion on investigational drugs, , Volume: 24, Issue:10, 2015
A novel BET bromodomain inhibitor, RVX-208, shows reduction of atherosclerosis in hyperlipidemic ApoE deficient mice.Atherosclerosis, , Volume: 236, Issue:1, 2014
RVX-208, an inducer of ApoA-I in humans, is a BET bromodomain antagonist.PloS one, , Volume: 8, Issue:12, 2013
Rvx 208.Drugs in R&D, , Volume: 11, Issue:2, 2011
[Novel therapy for atherosclerosis and inflammatory vascular disease].Nihon rinsho. Japanese journal of clinical medicine, , Volume: 69, Issue:1, 2011
Effect of Apabetalone on Cardiovascular Events in Diabetes, CKD, and Recent Acute Coronary Syndrome: Results from the BETonMACE Randomized Controlled Trial.Clinical journal of the American Society of Nephrology : CJASN, , 05-08, Volume: 16, Issue:5, 2021
Pharmacologic epigenetic modulators of alkaline phosphatase in chronic kidney disease.Current opinion in nephrology and hypertension, , Volume: 29, Issue:1, 2020
Effect of selective BET protein inhibitor apabetalone on cardiovascular outcomes in patients with acute coronary syndrome and diabetes: Rationale, design, and baseline characteristics of the BETonMACE trial.American heart journal, , Volume: 217, 2019
Apabetalone Mediated Epigenetic Modulation is Associated with Favorable Kidney Function and Alkaline Phosphatase Profile in Patients with Chronic Kidney Disease.Kidney & blood pressure research, , Volume: 43, Issue:2, 2018
Relation of insulin treatment for type 2 diabetes to the risk of major adverse cardiovascular events after acute coronary syndrome: an analysis of the BETonMACE randomized clinical trial.Cardiovascular diabetology, , 06-22, Volume: 20, Issue:1, 2021
Apabetalone and hospitalization for heart failure in patients following an acute coronary syndrome: a prespecified analysis of the BETonMACE study.Cardiovascular diabetology, , 01-07, Volume: 20, Issue:1, 2021
Effect of Apabetalone on Cardiovascular Events in Diabetes, CKD, and Recent Acute Coronary Syndrome: Results from the BETonMACE Randomized Controlled Trial.Clinical journal of the American Society of Nephrology : CJASN, , 05-08, Volume: 16, Issue:5, 2021
Effect of Apabetalone Added to Standard Therapy on Major Adverse Cardiovascular Events in Patients With Recent Acute Coronary Syndrome and Type 2 Diabetes: A Randomized Clinical Trial.JAMA, , 04-28, Volume: 323, Issue:16, 2020
Epigenetic Therapeutics for Cardiovascular Disease: Writing, Erasing, Reading, and Maybe Forgetting.JAMA, , 04-28, Volume: 323, Issue:16, 2020
Effect of selective BET protein inhibitor apabetalone on cardiovascular outcomes in patients with acute coronary syndrome and diabetes: Rationale, design, and baseline characteristics of the BETonMACE trial.American heart journal, , Volume: 217, 2019
Rvx 208.Drugs in R&D, , Volume: 11, Issue:2, 2011
Reply to Ning American journal of respiratory and critical care medicine, , 02-01, Volume: 201, Issue:3, 2020
Effect of the BET Protein Inhibitor, RVX-208, on Progression of Coronary Atherosclerosis: Results of the Phase 2b, Randomized, Double-Blind, Multicenter, ASSURE Trial.American journal of cardiovascular drugs : drugs, devices, and other interventions, , Volume: 16, Issue:1, 2016
Effect of Apabetalone Added to Standard Therapy on Major Adverse Cardiovascular Events in Patients With Recent Acute Coronary Syndrome and Type 2 Diabetes: A Randomized Clinical Trial.JAMA, , 04-28, Volume: 323, Issue:16, 2020
Effect of selective BET protein inhibitor apabetalone on cardiovascular outcomes in patients with acute coronary syndrome and diabetes: Rationale, design, and baseline characteristics of the BETonMACE trial.American heart journal, , Volume: 217, 2019
Small Molecule BRD4 Inhibitors Apabetalone and JQ1 Rescues Endothelial Cells Dysfunction, Protects Monolayer Integrity and Reduces Midkine Expression.Molecules (Basel, Switzerland), , Nov-02, Volume: 27, Issue:21, 2022
BET protein inhibitor apabetalone (RVX-208) suppresses pro-inflammatory hyper-activation of monocytes from patients with cardiovascular disease and type 2 diabetes.Clinical epigenetics, , 11-11, Volume: 12, Issue:1, 2020
The Effect of Bromodomain and Extra-Terminal Inhibitor Apabetalone on Attenuated Coronary Atherosclerotic Plaque: Insights from the ASSURE Trial.American journal of cardiovascular drugs : drugs, devices, and other interventions, , Volume: 19, Issue:1, 2019
RVX-208, a BET-inhibitor for treating atherosclerotic cardiovascular disease, raises ApoA-I/HDL and represses pathways that contribute to cardiovascular disease.Atherosclerosis, , Volume: 247, 2016
An evaluation of RVX-208 for the treatment of atherosclerosis.Expert opinion on investigational drugs, , Volume: 24, Issue:10, 2015
A novel BET bromodomain inhibitor, RVX-208, shows reduction of atherosclerosis in hyperlipidemic ApoE deficient mice.Atherosclerosis, , Volume: 236, Issue:1, 2014
RVX-208, an inducer of ApoA-I in humans, is a BET bromodomain antagonist.PloS one, , Volume: 8, Issue:12, 2013
[Novel therapy for atherosclerosis and inflammatory vascular disease].Nihon rinsho. Japanese journal of clinical medicine, , Volume: 69, Issue:1, 2011
Rvx 208.Drugs in R&D, , Volume: 11, Issue:2, 2011
Effect of Apabetalone on Cardiovascular Events in Diabetes, CKD, and Recent Acute Coronary Syndrome: Results from the BETonMACE Randomized Controlled Trial.Clinical journal of the American Society of Nephrology : CJASN, , 05-08, Volume: 16, Issue:5, 2021
Pharmacologic epigenetic modulators of alkaline phosphatase in chronic kidney disease.Current opinion in nephrology and hypertension, , Volume: 29, Issue:1, 2020
Effect of selective BET protein inhibitor apabetalone on cardiovascular outcomes in patients with acute coronary syndrome and diabetes: Rationale, design, and baseline characteristics of the BETonMACE trial.American heart journal, , Volume: 217, 2019
Apabetalone Mediated Epigenetic Modulation is Associated with Favorable Kidney Function and Alkaline Phosphatase Profile in Patients with Chronic Kidney Disease.Kidney & blood pressure research, , Volume: 43, Issue:2, 2018
The Effect of Bromodomain and Extra-Terminal Inhibitor Apabetalone on Attenuated Coronary Atherosclerotic Plaque: Insights from the ASSURE Trial.American journal of cardiovascular drugs : drugs, devices, and other interventions, , Volume: 19, Issue:1, 2019
Effect of the BET Protein Inhibitor, RVX-208, on Progression of Coronary Atherosclerosis: Results of the Phase 2b, Randomized, Double-Blind, Multicenter, ASSURE Trial.American journal of cardiovascular drugs : drugs, devices, and other interventions, , Volume: 16, Issue:1, 2016
An evaluation of RVX-208 for the treatment of atherosclerosis.Expert opinion on investigational drugs, , Volume: 24, Issue:10, 2015
ApoA-I induction as a potential cardioprotective strategy: rationale for the SUSTAIN and ASSURE studies.Cardiovascular drugs and therapy, , Volume: 26, Issue:2, 2012
Reply to Ning American journal of respiratory and critical care medicine, , 02-01, Volume: 201, Issue:3, 2020
Dual mechanism: Epigenetic inhibitor apabetalone reduces SARS-CoV-2 Delta and Omicron variant spike binding and attenuates SARS-CoV-2 RNA induced inflammation.International immunopharmacology, , Volume: 117, 2023
BET inhibition blocks inflammation-induced cardiac dysfunction and SARS-CoV-2 infection.Cell, , 04-15, Volume: 184, Issue:8, 2021
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.Nature, , Volume: 583, Issue:7816, 2020
Rvx 208.Drugs in R&D, , Volume: 11, Issue:2, 2011
The Effect of Bromodomain and Extra-Terminal Inhibitor Apabetalone on Attenuated Coronary Atherosclerotic Plaque: Insights from the ASSURE Trial.American journal of cardiovascular drugs : drugs, devices, and other interventions, , Volume: 19, Issue:1, 2019
Effect of the BET Protein Inhibitor, RVX-208, on Progression of Coronary Atherosclerosis: Results of the Phase 2b, Randomized, Double-Blind, Multicenter, ASSURE Trial.American journal of cardiovascular drugs : drugs, devices, and other interventions, , Volume: 16, Issue:1, 2016
ApoA-I induction as a potential cardioprotective strategy: rationale for the SUSTAIN and ASSURE studies.Cardiovascular drugs and therapy, , Volume: 26, Issue:2, 2012
Atherosclerosis: targeting endogenous apo A-I--a new approach for raising HDL.Nature reviews. Cardiology, , Volume: 8, Issue:4, 2011
Efficacy and safety of a novel oral inducer of apolipoprotein a-I synthesis in statin-treated patients with stable coronary artery disease a randomized controlled trial.Journal of the American College of Cardiology, , Mar-01, Volume: 57, Issue:9, 2011
Apolipoprotein A-I therapy promise, challenges, and disappointment.Journal of the American College of Cardiology, , Mar-01, Volume: 57, Issue:9, 2011
Epigenetic BET reader inhibitor apabetalone (RVX-208) counters proinflammatory aortic gene expression in a diet induced obesity mouse model and in human endothelial cells.Atherosclerosis, , Volume: 364, 2023
Effect of Apabetalone on Cardiovascular Events in Diabetes, CKD, and Recent Acute Coronary Syndrome: Results from the BETonMACE Randomized Controlled Trial.Clinical journal of the American Society of Nephrology : CJASN, , 05-08, Volume: 16, Issue:5, 2021
Apabetalone and hospitalization for heart failure in patients following an acute coronary syndrome: a prespecified analysis of the BETonMACE study.Cardiovascular diabetology, , 01-07, Volume: 20, Issue:1, 2021
Relation of insulin treatment for type 2 diabetes to the risk of major adverse cardiovascular events after acute coronary syndrome: an analysis of the BETonMACE randomized clinical trial.Cardiovascular diabetology, , 06-22, Volume: 20, Issue:1, 2021
Epigenetic Therapeutics for Cardiovascular Disease: Writing, Erasing, Reading, and Maybe Forgetting.JAMA, , 04-28, Volume: 323, Issue:16, 2020
BET protein inhibitor apabetalone (RVX-208) suppresses pro-inflammatory hyper-activation of monocytes from patients with cardiovascular disease and type 2 diabetes.Clinical epigenetics, , 11-11, Volume: 12, Issue:1, 2020
Effect of Apabetalone Added to Standard Therapy on Major Adverse Cardiovascular Events in Patients With Recent Acute Coronary Syndrome and Type 2 Diabetes: A Randomized Clinical Trial.JAMA, , 04-28, Volume: 323, Issue:16, 2020
Apabetalone - BET protein inhibition in cardiovascular disease and Type 2 diabetes.Future cardiology, , Volume: 16, Issue:5, 2020
Effect of selective BET protein inhibitor apabetalone on cardiovascular outcomes in patients with acute coronary syndrome and diabetes: Rationale, design, and baseline characteristics of the BETonMACE trial.American heart journal, , Volume: 217, 2019
Therapeutic candidates for the Zika virus identified by a high-throughput screen for Zika protease inhibitors.Proceedings of the National Academy of Sciences of the United States of America, , 12-08, Volume: 117, Issue:49, 2020
Epigenetic Modulation by Apabetalone Counters Cytokine-Driven Acute Phase Response Cardiovascular therapeutics, , Volume: 2020, 2020
Multicenter Preclinical Validation of BET Inhibition for the Treatment of Pulmonary Arterial Hypertension.American journal of respiratory and critical care medicine, , 10-01, Volume: 200, Issue:7, 2019
RVX-208: a small molecule that increases apolipoprotein A-I and high-density lipoprotein cholesterol in vitro and in vivo.Journal of the American College of Cardiology, , Jun-08, Volume: 55, Issue:23, 2010
Effect of Apabetalone on Cardiovascular Events in Diabetes, CKD, and Recent Acute Coronary Syndrome: Results from the BETonMACE Randomized Controlled Trial.Clinical journal of the American Society of Nephrology : CJASN, , 05-08, Volume: 16, Issue:5, 2021
Epigenetic Therapies for Heart Failure: Current Insights and Future Potential.Vascular health and risk management, , Volume: 17, 2021
Apabetalone and hospitalization for heart failure in patients following an acute coronary syndrome: a prespecified analysis of the BETonMACE study.Cardiovascular diabetology, , 01-07, Volume: 20, Issue:1, 2021
Selective BET inhibitor RVX-208 ameliorates periodontal inflammation and bone loss.Journal of clinical periodontology, , Volume: 50, Issue:12, 2023
Dual mechanism: Epigenetic inhibitor apabetalone reduces SARS-CoV-2 Delta and Omicron variant spike binding and attenuates SARS-CoV-2 RNA induced inflammation.International immunopharmacology, , Volume: 117, 2023
Epigenetic BET reader inhibitor apabetalone (RVX-208) counters proinflammatory aortic gene expression in a diet induced obesity mouse model and in human endothelial cells.Atherosclerosis, , Volume: 364, 2023
Inhibition of epigenetic reader proteins by apabetalone counters inflammation in activated innate immune cells from Fabry disease patients receiving enzyme replacement therapy.Pharmacology research & perspectives, , Volume: 10, Issue:3, 2022
Small Molecule BRD4 Inhibitors Apabetalone and JQ1 Rescues Endothelial Cells Dysfunction, Protects Monolayer Integrity and Reduces Midkine Expression.Molecules (Basel, Switzerland), , Nov-02, Volume: 27, Issue:21, 2022
BET inhibition blocks inflammation-induced cardiac dysfunction and SARS-CoV-2 infection.Cell, , 04-15, Volume: 184, Issue:8, 2021
BET protein inhibitor apabetalone (RVX-208) suppresses pro-inflammatory hyper-activation of monocytes from patients with cardiovascular disease and type 2 diabetes.Clinical epigenetics, , 11-11, Volume: 12, Issue:1, 2020
Multicenter Preclinical Validation of BET Inhibition for the Treatment of Pulmonary Arterial Hypertension.American journal of respiratory and critical care medicine, , 10-01, Volume: 200, Issue:7, 2019
Discovery of potent and selective BRD4 inhibitors capable of blocking TLR3-induced acute airway inflammation.European journal of medicinal chemistry, , May-10, Volume: 151, 2018
A novel BET bromodomain inhibitor, RVX-208, shows reduction of atherosclerosis in hyperlipidemic ApoE deficient mice.Atherosclerosis, , Volume: 236, Issue:1, 2014
Rational design of 5-((1H-imidazol-1-yl)methyl)quinolin-8-ol derivatives as novel bromodomain-containing protein 4 inhibitors.European journal of medicinal chemistry, , Feb-01, Volume: 163, 2019
Design, synthesis and biological evaluation of 3,5-dimethylisoxazole and pyridone derivatives as BRD4 inhibitors.Bioorganic & medicinal chemistry letters, , 10-01, Volume: 29, Issue:19, 2019
Discovery of Benzo[cd]indol-2(1H)-ones as Potent and Specific BET Bromodomain Inhibitors: Structure-Based Virtual Screening, Optimization, and Biological Evaluation.Journal of medicinal chemistry, , Feb-25, Volume: 59, Issue:4, 2016
Targeting the BET family for the treatment of leukemia.Epigenomics, , Volume: 6, Issue:2, 2014
Effect of Apabetalone Added to Standard Therapy on Major Adverse Cardiovascular Events in Patients With Recent Acute Coronary Syndrome and Type 2 Diabetes: A Randomized Clinical Trial.JAMA, , 04-28, Volume: 323, Issue:16, 2020
Effect of selective BET protein inhibitor apabetalone on cardiovascular outcomes in patients with acute coronary syndrome and diabetes: Rationale, design, and baseline characteristics of the BETonMACE trial.American heart journal, , Volume: 217, 2019
Discovery of Thieno[2,3-Journal of medicinal chemistry, , 04-09, Volume: 63, Issue:7, 2020
ABCA1 overexpression worsens colorectal cancer prognosis by facilitating tumour growth and caveolin-1-dependent invasiveness, and these effects can be ameliorated using the BET inhibitor apabetalone.Molecular oncology, , Volume: 12, Issue:10, 2018
Safety/Toxicity (1)
Bioavailability (4)
Article | Year |
Discovery of Orally Bioavailable Chromone Derivatives as Potent and Selective BRD4 Inhibitors: Scaffold Hopping, Optimization, and Pharmacological Evaluation. Journal of medicinal chemistry, , 05-28, Volume: 63, Issue:10 | 2020 |
A High-Throughput Screen of a Library of Therapeutics Identifies Cytotoxic Substrates of P-glycoprotein. Molecular pharmacology, , Volume: 96, Issue:5 | 2019 |
Highly predictive and interpretable models for PAMPA permeability. Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3 | 2017 |
Discovery of Benzo[cd]indol-2(1H)-ones as Potent and Specific BET Bromodomain Inhibitors: Structure-Based Virtual Screening, Optimization, and Biological Evaluation. Journal of medicinal chemistry, , Feb-25, Volume: 59, Issue:4 | 2016 |
Dosage (2)
Article | Year |
A novel BET bromodomain inhibitor, RVX-208, shows reduction of atherosclerosis in hyperlipidemic ApoE deficient mice. Atherosclerosis, , Volume: 236, Issue:1 | 2014 |
RVX-208, a stimulator of apolipoprotein AI gene expression for the treatment of cardiovascular diseases. Current opinion in investigational drugs (London, England : 2000), , Volume: 11, Issue:3 | 2010 |