Page last updated: 2024-08-03 19:48:21
agi-5198
Description
AGI-5198: inhibits isocitrate dehydrogenase 1; structure in first source [MeSH]
Cross-References
ID Source | ID |
PubMed CID | 56645356 |
CHEMBL ID | 2180727 |
SCHEMBL ID | 15118942 |
MeSH ID | M0584881 |
Synonyms (39)
Synonym |
1355326-35-0 |
chembl2180727 , |
bdbm50400272 |
agi-5198 |
CS-1429 , |
NCGC00347934-01 |
S7185 , |
HY-18082 |
smr004701328 |
MLS006010252 |
agi-5198 (idh-c35) |
SCHEMBL15118942 |
idh-c35 |
agi 5198 |
n-cyclohexyl-2-(n-(3-fluorophenyl)-2-(2-methyl-1h-imidazol-1-yl)acetamido)-2-o-tolylacetamide |
n-cyclohexyl-2-(n-(3-fluorophenyl)-2-(2-methyl-1h-imidazol-1-yl)acetamido)-2-(o-tolyl)acetamide |
n-cyclohexyl-2-(3-fluoro-n-[2-(2-methylimidazol-1-yl)acetyl]anilino)-2-(2-methylphenyl)acetamide |
gtpl9240 |
AKOS026674117 |
DTXSID30718166 |
EX-A171 |
agi5198 |
HMS3653K15 |
agi-5198(idh c35) |
mfcd24848688 |
NCGC00347934-09 |
SW220036-1 |
FT-0768624 |
BCP07382 |
BS-14968 |
Q27074345 |
AMY24200 |
SB19576 |
HMS3865J13 |
CCG-269371 |
A854356 |
nsc773096 |
nsc-773096 |
AC-35827 |
Protein Targets (6)
Potency Measurements
Inhibition Measurements
Activation Measurements
Bioassays (101)
Assay ID | Title | Year | Journal | Article |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
AID1347101 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for BT-12 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347106 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for control Hh wild type fibroblast cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347102 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for Rh18 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347082 | qHTS for Inhibitors of the Functional Ribonucleoprotein Complex (vRNP) of Lassa (LASV) Arenavirus: LASV Primary Screen - GLuc reporter signal | 2020 | Antiviral research, 01, Volume: 173ISSN: 1872-9096 | A cell-based, infectious-free, platform to identify inhibitors of lassa virus ribonucleoprotein (vRNP) activity. |
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. |
AID1347108 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for Rh41 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347096 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for U-2 OS cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347094 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for BT-37 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347092 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for A673 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347097 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for Saos-2 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347086 | qHTS for Inhibitors of the Functional Ribonucleoprotein Complex (vRNP) of Lymphocytic Choriomeningitis Arenaviruses (LCMV): LCMV Primary Screen - GLuc reporter signal | 2020 | Antiviral research, 01, Volume: 173ISSN: 1872-9096 | A cell-based, infectious-free, platform to identify inhibitors of lassa virus ribonucleoprotein (vRNP) activity. |
AID1347105 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for MG 63 (6-TG R) cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1508630 | Primary qHTS for small molecule stabilizers of the endoplasmic reticulum resident proteome: Secreted ER Calcium Modulated Protein (SERCaMP) assay | 2021 | Cell reports, 04-27, Volume: 35, Issue:4 ISSN: 2211-1247 | A target-agnostic screen identifies approved drugs to stabilize the endoplasmic reticulum-resident proteome. |
AID1347098 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for SK-N-SH cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347090 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for DAOY cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347089 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for TC32 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347091 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for SJ-GBM2 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347099 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for NB1643 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347093 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for SK-N-MC cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347095 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for NB-EBc1 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347083 | qHTS for Inhibitors of the Functional Ribonucleoprotein Complex (vRNP) of Lassa (LASV) Arenavirus: Viability assay - alamar blue signal for LASV Primary Screen | 2020 | Antiviral research, 01, Volume: 173ISSN: 1872-9096 | A cell-based, infectious-free, platform to identify inhibitors of lassa virus ribonucleoprotein (vRNP) activity. |
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. |
AID1347154 | Primary screen GU AMC 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. |
AID1347104 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for RD cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347103 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for OHS-50 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347107 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for Rh30 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1347100 | qHTS of pediatric cancer cell lines to identify multiple opportunities for drug repurposing: Primary screen for LAN-5 cells | 2018 | Oncotarget, Jan-12, Volume: 9, Issue:4 ISSN: 1949-2553 | Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing. |
AID1745845 | Primary qHTS for Inhibitors of ATXN expression | 2022 | The Journal of biological chemistry, 08, Volume: 298, Issue:8 ISSN: 1083-351X | |
AID1167091 | Permeability from basolateral to apical side in MDCK cells expressing MDR1 at 10 uM incubated at 37 degC for 90 mins by LC/MS/MS method | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID1367000 | Inhibition of IDH1 R132H mutant (unknown origin) | 2017 | Bioorganic & medicinal chemistry, 12-15, Volume: 25, Issue:24 ISSN: 1464-3391 | Design, synthesis and biological activity of 3-pyrazine-2-yl-oxazolidin-2-ones as novel, potent and selective inhibitors of mutant isocitrate dehydrogenase 1. |
AID1412213 | Inhibition of IDH1 R132H mutant in human HT1080 cells assessed as decrease in D-2HG levels at 1 uM after 48 hrs by HPLC-MS analysis relative to control | 2018 | MedChemComm, Mar-01, Volume: 9, Issue:3 ISSN: 2040-2503 | Design, synthesis and biological evaluation of novel 5-hydroxy-2-methyl-4 |
AID1535410 | Inhibition of recombinant human N-terminal GST-fused IDH1 R132H mutant expressed in Escherichia coli using alpha-ketoglutarate as substrate preincubated for 15 mins followed by substrate addition | 2019 | Bioorganic & medicinal chemistry, 02-15, Volume: 27, Issue:4 ISSN: 1464-3391 | Synthesis and biological evaluation of 3-aryl-4-indolyl-maleimides as potent mutant isocitrate dehydrogenase-1 inhibitors. |
AID704648 | Inhibition of wild type IDH1 using DL-isocitrate as substrate by resazurin-based fluorimetric analysis | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID704644 | Plasma protein binding in mouse by equilibrium dialysis method | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1412212 | Antiproliferative activity against human U87 cells by MTT assay | 2018 | MedChemComm, Mar-01, Volume: 9, Issue:3 ISSN: 2040-2503 | Design, synthesis and biological evaluation of novel 5-hydroxy-2-methyl-4 |
AID1241499 | Cytotoxicity against human HT1080 cells assessed as growth inhibition after 48 to 96 hrs by MTT assay | 2015 | Journal of medicinal chemistry, Sep-10, Volume: 58, Issue:17 ISSN: 1520-4804 | Inhibition of Cancer-Associated Mutant Isocitrate Dehydrogenases by 2-Thiohydantoin Compounds. |
AID1167096 | Inhibition of cell proliferation of human WI38 cells by CCK8 assay | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID704657 | Inhibition of IDH1 R132H mutant using alpha-ketoglutarate as substrate after 60 mins by resazurin-based fluorimetric analysis | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1535412 | Inhibition of recombinant human N-terminal GST-fused IDH1 R132C mutant expressed in Escherichia coli using alpha-ketoglutarate as substrate preincubated for 15 mins followed by substrate addition | 2019 | Bioorganic & medicinal chemistry, 02-15, Volume: 27, Issue:4 ISSN: 1464-3391 | Synthesis and biological evaluation of 3-aryl-4-indolyl-maleimides as potent mutant isocitrate dehydrogenase-1 inhibitors. |
AID1412219 | Antimigratory activity in human HT1080 cells assessed as scratch area at 10 uM after 12 hrs (Rvb = 23.3%) | 2018 | MedChemComm, Mar-01, Volume: 9, Issue:3 ISSN: 2040-2503 | Design, synthesis and biological evaluation of novel 5-hydroxy-2-methyl-4 |
AID1667626 | Inhibition of IDH1 R132C mutant (unknown origin) | 2020 | Bioorganic & medicinal chemistry letters, 05-01, Volume: 30, Issue:9 ISSN: 1464-3405 | Design and synthesis of novel 2-arylbenzimidazoles as selective mutant isocitrate dehydrogenase 2 R140Q inhibitors. |
AID1667624 | Inhibition of IDH2 R140Q mutant (unknown origin) | 2020 | Bioorganic & medicinal chemistry letters, 05-01, Volume: 30, Issue:9 ISSN: 1464-3405 | Design and synthesis of novel 2-arylbenzimidazoles as selective mutant isocitrate dehydrogenase 2 R140Q inhibitors. |
AID704645 | Hepatic extraction ratio in rat liver microsomes | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1324413 | Inhibition of human C-terminal His8-tagged IDH1-R132H mutant expressed in Escherichia coli Rosetta assessed as inhibition of ketoreductase activity by measuring NADPH consumption preincubated for 10 mins followed by addition of NADPH and alpha-KG as subst | 2016 | ACS medicinal chemistry letters, Oct-13, Volume: 7, Issue:10 ISSN: 1948-5875 | Discovery of 8-Membered Ring Sulfonamides as Inhibitors of Oncogenic Mutant Isocitrate Dehydrogenase 1. |
AID1167095 | Inhibition of neurosphere formation of mouse BXD3752 cells by CCK8 assay | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID1167092 | Efflux ratio, ratio of permeability from basolateral side over apical to basolateral side in MDCK cells expressing MDR1 at 10 uM incubated at 37 degC for 90 mins by LC/MS/MS method | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID1591605 | Inhibition of N-terminal 6-His-tagged IDH1 R132H mutant (unknown origin) expressed in Escherichia coli BL21 cells using alpha-KG as substrate in presence of NADPH incubated for 40 mins by fluorescence assay | 2019 | Bioorganic & medicinal chemistry, 08-01, Volume: 27, Issue:15 ISSN: 1464-3391 | Discovery of DC_H31 as potential mutant IDH1 inhibitor through NADPH-based high throughput screening. |
AID704650 | Inhibition of IDH1 R132C mutant overexpressed in human HT1080 cells assessed as inhibition of 2-hydroxyglutarate production after 48 hrs by LC/MS analysis | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID704642 | Fraction unbound in CD1 nude mouse plasma xenografted with human U87 cells expressing IDH1 R132H mutant at 150 mg/kg, ip administered BID for 1 day | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1241497 | Cytotoxicity against human A549 cells assessed as growth inhibition after 48 to 96 hrs by MTT assay | 2015 | Journal of medicinal chemistry, Sep-10, Volume: 58, Issue:17 ISSN: 1520-4804 | Inhibition of Cancer-Associated Mutant Isocitrate Dehydrogenases by 2-Thiohydantoin Compounds. |
AID704651 | Inhibition of IDH1 R132C mutant using alpha-ketoglutarate as substrate after 60 mins by resazurin-based fluorimetric analysis | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1535418 | Inhibition of Fructose-1,6-bisphosphatase expressed in Escherichia coli BL21 (DE3) by glucose-6-phosphate dehydrogenase/phosphoglucoisomerase coupled spectrophotometric method | 2019 | Bioorganic & medicinal chemistry, 02-15, Volume: 27, Issue:4 ISSN: 1464-3391 | Synthesis and biological evaluation of 3-aryl-4-indolyl-maleimides as potent mutant isocitrate dehydrogenase-1 inhibitors. |
AID1167089 | Permeability from apical to basolateral side in MDCK cells expressing MDR1 at 10 uM incubated at 37 degC for 90 mins by LC/MS/MS method | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID1535413 | Inhibition of recombinant human N-terminal GST-fused IDH1 R132L mutant expressed in Escherichia coli using alpha-ketoglutarate as substrate preincubated for 15 mins followed by substrate addition | 2019 | Bioorganic & medicinal chemistry, 02-15, Volume: 27, Issue:4 ISSN: 1464-3391 | Synthesis and biological evaluation of 3-aryl-4-indolyl-maleimides as potent mutant isocitrate dehydrogenase-1 inhibitors. |
AID1667627 | Inhibition of IDH1 R132H mutant (unknown origin) | 2020 | Bioorganic & medicinal chemistry letters, 05-01, Volume: 30, Issue:9 ISSN: 1464-3405 | Design and synthesis of novel 2-arylbenzimidazoles as selective mutant isocitrate dehydrogenase 2 R140Q inhibitors. |
AID1535416 | Inhibition of bovine GDH using L-glutamate as substrate measured after 1 hr | 2019 | Bioorganic & medicinal chemistry, 02-15, Volume: 27, Issue:4 ISSN: 1464-3391 | Synthesis and biological evaluation of 3-aryl-4-indolyl-maleimides as potent mutant isocitrate dehydrogenase-1 inhibitors. |
AID1412218 | Antimigratory activity in human HT1080 cells assessed as scratch area at 10 uM after 6 hrs (Rvb = 58.7%) | 2018 | MedChemComm, Mar-01, Volume: 9, Issue:3 ISSN: 2040-2503 | Design, synthesis and biological evaluation of novel 5-hydroxy-2-methyl-4 |
AID1535414 | Inhibition of recombinant human N-terminal GST-fused wild-type IDH1 using sodium (D)-isocitrate as substrate by fluorescence assay | 2019 | Bioorganic & medicinal chemistry, 02-15, Volume: 27, Issue:4 ISSN: 1464-3391 | Synthesis and biological evaluation of 3-aryl-4-indolyl-maleimides as potent mutant isocitrate dehydrogenase-1 inhibitors. |
AID1412214 | Antimigratory activity in human U87 cells assessed as migration rate at 1 uM after 12 hrs by scratch assay (Rvb = 51.3%) | 2018 | MedChemComm, Mar-01, Volume: 9, Issue:3 ISSN: 2040-2503 | Design, synthesis and biological evaluation of novel 5-hydroxy-2-methyl-4 |
AID1241498 | Cytotoxicity against human WI38 cells assessed as growth inhibition after 48 to 96 hrs by MTT assay | 2015 | Journal of medicinal chemistry, Sep-10, Volume: 58, Issue:17 ISSN: 1520-4804 | Inhibition of Cancer-Associated Mutant Isocitrate Dehydrogenases by 2-Thiohydantoin Compounds. |
AID704643 | AUC (0 to 24 hrs) in mouse at 50 mg/kg, ip | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1241501 | Effect on neurosphere formation of mouse BXD3752 cells without IDH1 R132H mutation at 0.2 to 20 uM after 14 days by CCK8 assay | 2015 | Journal of medicinal chemistry, Sep-10, Volume: 58, Issue:17 ISSN: 1520-4804 | Inhibition of Cancer-Associated Mutant Isocitrate Dehydrogenases by 2-Thiohydantoin Compounds. |
AID1241502 | Inhibition of self-renewal ability of human HT1080 cells at 0.2 to 20 uM after 14 days by CCK8 assay | 2015 | Journal of medicinal chemistry, Sep-10, Volume: 58, Issue:17 ISSN: 1520-4804 | Inhibition of Cancer-Associated Mutant Isocitrate Dehydrogenases by 2-Thiohydantoin Compounds. |
AID704652 | Growth inhibition of human U87 cells after 72 hrs by CellTiter-Glo assay | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1667629 | Inhibition of IDH2 R172K mutant (unknown origin) | 2020 | Bioorganic & medicinal chemistry letters, 05-01, Volume: 30, Issue:9 ISSN: 1464-3405 | Design and synthesis of novel 2-arylbenzimidazoles as selective mutant isocitrate dehydrogenase 2 R140Q inhibitors. |
AID1241496 | Cytotoxicity against human MCF7 cells assessed as growth inhibition after 48 to 96 hrs by MTT assay | 2015 | Journal of medicinal chemistry, Sep-10, Volume: 58, Issue:17 ISSN: 1520-4804 | Inhibition of Cancer-Associated Mutant Isocitrate Dehydrogenases by 2-Thiohydantoin Compounds. |
AID1366997 | Inhibition of IDH1 R132C mutant (unknown origin) | 2017 | Bioorganic & medicinal chemistry, 12-15, Volume: 25, Issue:24 ISSN: 1464-3391 | Design, synthesis and biological activity of 3-pyrazine-2-yl-oxazolidin-2-ones as novel, potent and selective inhibitors of mutant isocitrate dehydrogenase 1. |
AID1513037 | Inhibition of IDH1 R132H mutant in human HT-1080 cells assessed as suppression of 2-HG production incubated for 48 hrs by LC-MS analysis | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Inhibitors of Mutant Isocitrate Dehydrogenases 1 and 2 (mIDH1/2): An Update and Perspective. |
AID1167098 | Inhibition of neurosphere formation of human BT142 cells at 20 uM by CCK8 assay | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID704641 | Inhibition of IDH1 R132H mutant in human U87 cells xenografted in CD1 nude mouse assessed as inhibition of 2-hydroxyglutarate production at 150 mg/kg, ip administered as single dose by LC/MS analysis relative to vehicle-treated control | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID704653 | Inhibition of IDH1 R132H mutant expressed in human U87 cells assessed as inhibition of 2-hydroxyglutarate production after 48 hrs by LC/MS analysis | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1667628 | Inhibition of wild type IDH2 (unknown origin) | 2020 | Bioorganic & medicinal chemistry letters, 05-01, Volume: 30, Issue:9 ISSN: 1464-3405 | Design and synthesis of novel 2-arylbenzimidazoles as selective mutant isocitrate dehydrogenase 2 R140Q inhibitors. |
AID1541311 | Inhibition of IDH1 R132H mutant (unknown origin) assessed as reduction in NADPH consumption using alpha-KG as substrate incubated for 5 mins followed by substrate addition and measured every 1 min | 2019 | Journal of natural products, 11-22, Volume: 82, Issue:11 ISSN: 1520-6025 | |
AID1412225 | Inhibition of His-tagged recombinant human IDH1 R132H mutant expressed in Escherichia coli Rosetta (DE3) preincubated for 30 mins followed by NADPH/alpha-KG addition and measured after 1 hr | 2018 | MedChemComm, Mar-01, Volume: 9, Issue:3 ISSN: 2040-2503 | Design, synthesis and biological evaluation of novel 5-hydroxy-2-methyl-4 |
AID1324397 | Inhibition of IDH1-R132H mutant (unknown origin) expressed in human HA1EM cells assessed as suppression of R-2HG secretion measured after 72 hrs by LC-MS/MS analysis | 2016 | ACS medicinal chemistry letters, Oct-13, Volume: 7, Issue:10 ISSN: 1948-5875 | Discovery of 8-Membered Ring Sulfonamides as Inhibitors of Oncogenic Mutant Isocitrate Dehydrogenase 1. |
AID704640 | Inhibition of IDH1 R132H mutant in human U87 cells xenografted in CD1 nude mouse assessed as inhibition of 2-hydroxyglutarate production at 150 mg/kg, ip administered BID by LC/MS analysis relative to vehicle-treated control | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1535415 | Inhibition of recombinant human N-terminal GST-fused wild-type IDH2 using sodium (D)-isocitrate as substrate preincubated for 15 mins followed by substrate addition by fluorescence assay | 2019 | Bioorganic & medicinal chemistry, 02-15, Volume: 27, Issue:4 ISSN: 1464-3391 | Synthesis and biological evaluation of 3-aryl-4-indolyl-maleimides as potent mutant isocitrate dehydrogenase-1 inhibitors. |
AID704646 | Hepatic extraction ratio in human liver microsomes | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1535417 | Inhibition of recombinant human N-terminal GST-fused glucokinase expressed in Escherichia coli using glucose-6-phosphatedehydrogenase as substrate by spectrophotometric assay | 2019 | Bioorganic & medicinal chemistry, 02-15, Volume: 27, Issue:4 ISSN: 1464-3391 | Synthesis and biological evaluation of 3-aryl-4-indolyl-maleimides as potent mutant isocitrate dehydrogenase-1 inhibitors. |
AID1167094 | Inhibition of neurosphere formation of mouse BXD4687 cells by CCK8 assay | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID1370628 | Inhibition of IDH1 R132C mutant (unknown origin) expressed in HEK293T cells assessed as D2-HG level at 10 uM after 72 hrs relative to control | 2018 | Bioorganic & medicinal chemistry letters, 02-01, Volume: 28, Issue:3 ISSN: 1464-3405 | Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening. |
AID1370627 | Inhibition of IDH1 R132H mutant (unknown origin) expressed in HEK293T cells assessed as D2-HG level at 50 uM after 72 hrs relative to control | 2018 | Bioorganic & medicinal chemistry letters, 02-01, Volume: 28, Issue:3 ISSN: 1464-3405 | Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening. |
AID1167097 | Inhibition of neurosphere formation of human BT142 cells at 2 uM by CCK8 assay | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID1167100 | Selectivity index, ratio of EC50 for mouse BXD4687 cells to EC50 for human BT142 cells | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID1167099 | Selectivity index, ratio of EC50 for mouse BXD3752 cells to EC50 for human BT142 cells | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID1667625 | Inhibition of wild type IDH1 (unknown origin) | 2020 | Bioorganic & medicinal chemistry letters, 05-01, Volume: 30, Issue:9 ISSN: 1464-3405 | Design and synthesis of novel 2-arylbenzimidazoles as selective mutant isocitrate dehydrogenase 2 R140Q inhibitors. |
AID1167093 | Inhibition of neurosphere formation of human BT142 cells by CCK8 assay | 2014 | Journal of medicinal chemistry, Oct-23, Volume: 57, Issue:20 ISSN: 1520-4804 | Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity. |
AID1412211 | Antiproliferative activity against human HT1080 cells by MTT assay | 2018 | MedChemComm, Mar-01, Volume: 9, Issue:3 ISSN: 2040-2503 | Design, synthesis and biological evaluation of novel 5-hydroxy-2-methyl-4 |
AID1241500 | Inhibition of neurosphere formation of human BT142 cells harboring IDH1 R132H mutation at 0.2 to 20 uM after 14 days by CCK8 assay | 2015 | Journal of medicinal chemistry, Sep-10, Volume: 58, Issue:17 ISSN: 1520-4804 | Inhibition of Cancer-Associated Mutant Isocitrate Dehydrogenases by 2-Thiohydantoin Compounds. |
AID1370629 | Inhibition of IDH1 R132C mutant (unknown origin) expressed in HEK293T cells assessed as D2-HG level at 50 uM after 72 hrs relative to control | 2018 | Bioorganic & medicinal chemistry letters, 02-01, Volume: 28, Issue:3 ISSN: 1464-3405 | Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening. |
AID1513098 | Inhibition of IDH1/2 in human U87-MG cells assessed as suppression of 2-HG production incubated for 48 hrs by LC-MS analysis | 2018 | Journal of medicinal chemistry, 10-25, Volume: 61, Issue:20 ISSN: 1520-4804 | Inhibitors of Mutant Isocitrate Dehydrogenases 1 and 2 (mIDH1/2): An Update and Perspective. |
AID704649 | Growth inhibition of human HT1080 cells after 72 hrs by CellTiter-Glo assay | 2012 | ACS medicinal chemistry letters, Oct-11, Volume: 3, Issue:10 ISSN: 1948-5875 | Discovery of the First Potent Inhibitors of Mutant IDH1 That Lower Tumor 2-HG in Vivo. |
AID1412215 | Antimigratory activity in human U87 cells assessed as migration rate at 1 uM after 24 hrs by scratch assay (Rvb = 17.5%) | 2018 | MedChemComm, Mar-01, Volume: 9, Issue:3 ISSN: 2040-2503 | Design, synthesis and biological evaluation of novel 5-hydroxy-2-methyl-4 |
AID1370626 | Inhibition of IDH1 R132H mutant (unknown origin) expressed in HEK293T cells assessed as D2-HG level at 10 uM after 72 hrs relative to control | 2018 | Bioorganic & medicinal chemistry letters, 02-01, Volume: 28, Issue:3 ISSN: 1464-3405 | Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening. |
Research
Studies (36)
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 | 24 (66.67) | 24.3611 |
2020's | 12 (33.33) | 2.80 |
Study Types
Publication Type | This drug (%) | All Drugs (%) |
Trials | 0 (0.00%) | 5.53% |
Reviews | 2 (5.56%) | 6.00% |
Case Studies | 0 (0.00%) | 4.05% |
Observational | 0 (0.00%) | 0.25% |
Other | 34 (94.44%) | 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 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
atenolol | | ethanolamines; monocarboxylic acid amide; propanolamine | anti-arrhythmia drug; antihypertensive agent; beta-adrenergic antagonist; environmental contaminant; sympatholytic agent; xenobiotic | 2017 | 2018 | 6.5 | low | 0 | 0 | 0 | 0 | 2 | 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 |
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 |
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 |
ciclopirox | | cyclic hydroxamic acid; hydroxypyridone antifungal drug; pyridone | antibacterial agent; antiseborrheic | 2014 | 2014 | 10.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
cyclosporine | | | | 2017 | 2020 | 5.5 | high | 0 | 0 | 0 | 0 | 2 | 0 |
desipramine | | dibenzoazepine; secondary amino compound | adrenergic uptake inhibitor; alpha-adrenergic antagonist; antidepressant; cholinergic antagonist; drug allergen; EC 3.1.4.12 (sphingomyelin phosphodiesterase) inhibitor; EC 3.4.21.26 (prolyl oligopeptidase) inhibitor; H1-receptor antagonist; serotonin uptake inhibitor | 2017 | 2018 | 6.5 | low | 0 | 0 | 0 | 0 | 2 | 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 |
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 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
homochlorocyclizine | | diarylmethane | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 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 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 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 |
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 |
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 |
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 |
vorinostat | | dicarboxylic acid diamide; hydroxamic acid | antineoplastic agent; apoptosis inducer; EC 3.5.1.98 (histone deacetylase) inhibitor | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
temozolomide | | imidazotetrazine; monocarboxylic acid amide; triazene derivative | alkylating agent; antineoplastic agent; prodrug | 2014 | 2014 | 10.0 | 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 |
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 |
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 |
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 |
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 |
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 |
thenalidine | | dialkylarylamine; tertiary amino compound | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 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 |
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 |
amonafide | | isoquinolines | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 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 |
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 |
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 |
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 |
(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 |
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 |
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 |
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 | 2019 | 5.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
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 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 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 |
5-[(2-bromoanilino)methyl]-8-quinolinol | | hydroxyquinoline | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 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 |
zuclomiphene | | stilbenoid | | 2018 | 2018 | 6.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
2-phenyl-N-[4-(2-thiazolylsulfamoyl)phenyl]-4-quinolinecarboxamide | | quinolines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 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 |
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 |
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 |
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 |
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 |
virginiamycin factor s1 | | cyclodepsipeptide; macrolide antibiotic | antibacterial drug; bacterial metabolite | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 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 |
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 |
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 |
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 |
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 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 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 |
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 |
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 |
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 |
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 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 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 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
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 |
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 |
SYC-435 | | benzenes; cyclic hydroxamic acid; pyridone | antineoplastic agent; EC 1.1.1.42 (isocitrate dehydrogenase) inhibitor | 2014 | 2017 | 8.5 | high | 0 | 0 | 0 | 0 | 2 | 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 |
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 |
srt1720 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 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 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 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 |
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 |
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 |
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 |
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 |
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 |
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 | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
pf-04620110 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
gsk525762a | | benzodiazepine | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 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 |
ncgc00242364 | | quinazolines | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
gsk1210151a | | imidazoquinoline | | 2017 | 2020 | 5.3 | low | 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 |
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 |
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 |
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 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
agi-6780 | | | | 2017 | 2020 | 5.2 | high | 0 | 0 | 0 | 0 | 5 | 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 |
ivosidenib | | cyanopyridine; monochlorobenzenes; organofluorine compound; pyrrolidin-2-ones; secondary carboxamide; tertiary carboxamide | antineoplastic agent; EC 1.1.1.42 (isocitrate dehydrogenase) inhibitor | 2018 | 2018 | 6.0 | low | 0 | 0 | 0 | 0 | 1 | 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 |
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 |
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 | 5.2 | low | 0 | 0 | 0 | 0 | 5 | 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 |
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 |
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 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
rvx 208 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 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
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening.Bioorganic & medicinal chemistry letters, , 02-01, Volume: 28, Issue:3, 2018
Design, synthesis and biological activity of 3-pyrazine-2-yl-oxazolidin-2-ones as novel, potent and selective inhibitors of mutant isocitrate dehydrogenase 1.Bioorganic & medicinal chemistry, , 12-15, Volume: 25, Issue:24, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models 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
Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening.Bioorganic & medicinal chemistry letters, , 02-01, Volume: 28, Issue:3, 2018
Design, synthesis and biological activity of 3-pyrazine-2-yl-oxazolidin-2-ones as novel, potent and selective inhibitors of mutant isocitrate dehydrogenase 1.Bioorganic & medicinal chemistry, , 12-15, Volume: 25, Issue:24, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue: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
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue: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
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models 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
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models 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
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models 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
Design, synthesis and biological activity of 3-pyrazine-2-yl-oxazolidin-2-ones as novel, potent and selective inhibitors of mutant isocitrate dehydrogenase 1.Bioorganic & medicinal chemistry, , 12-15, Volume: 25, Issue:24, 2017
Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity.Journal of medicinal chemistry, , Oct-23, Volume: 57, Issue:20, 2014
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models 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
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue: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
Design and synthesis of novel 2-arylbenzimidazoles as selective mutant isocitrate dehydrogenase 2 R140Q inhibitors.Bioorganic & medicinal chemistry letters, , 05-01, Volume: 30, Issue:9, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Inhibitors of Mutant Isocitrate Dehydrogenases 1 and 2 (mIDH1/2): An Update and Perspective.Journal of medicinal chemistry, , 10-25, Volume: 61, Issue:20, 2018
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Design and synthesis of novel 2-arylbenzimidazoles as selective mutant isocitrate dehydrogenase 2 R140Q inhibitors.Bioorganic & medicinal chemistry letters, , 05-01, Volume: 30, Issue:9, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Inhibitors of Mutant Isocitrate Dehydrogenases 1 and 2 (mIDH1/2): An Update and Perspective.Journal of medicinal chemistry, , 10-25, Volume: 61, Issue:20, 2018
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Extracellular glutamate and IDH1Journal of neuro-oncology, , Volume: 146, Issue:3, 2020
Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening.Bioorganic & medicinal chemistry letters, , 02-01, Volume: 28, Issue:3, 2018
Rapid Conversion of Mutant IDH1 from Driver to Passenger in a Model of Human Gliomagenesis.Molecular cancer research : MCR, , Volume: 14, Issue:10, 2016
Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity.Journal of medicinal chemistry, , Oct-23, Volume: 57, Issue:20, 2014
Zinc Finger MYND-Type Containing 8 (ZMYND8) Is Epigenetically Regulated in Mutant Isocitrate Dehydrogenase 1 (IDH1) Glioma to Promote Radioresistance.Clinical cancer research : an official journal of the American Association for Cancer Research, , 05-01, Volume: 29, Issue:9, 2023
Identification and characterization of a novel mutant isocitrate dehydrogenase 1 inhibitor for glioma treatment.Biochemical and biophysical research communications, , 04-30, Volume: 551, 2021
Extracellular glutamate and IDH1Journal of neuro-oncology, , Volume: 146, Issue:3, 2020
Synthesis and evaluation of radiolabeled AGI-5198 analogues as candidate radiotracers for imaging mutant IDH1 expression in tumors.Bioorganic & medicinal chemistry letters, , 02-15, Volume: 28, Issue:4, 2018
Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening.Bioorganic & medicinal chemistry letters, , 02-01, Volume: 28, Issue:3, 2018
Rapid Conversion of Mutant IDH1 from Driver to Passenger in a Model of Human Gliomagenesis.Molecular cancer research : MCR, , Volume: 14, Issue:10, 2016
Metabolomic comparison between cells over-expressing isocitrate dehydrogenase 1 and 2 mutants and the effects of an inhibitor on the metabolism.Journal of neurochemistry, , Volume: 132, Issue:2, 2015
Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity.Journal of medicinal chemistry, , Oct-23, Volume: 57, Issue:20, 2014
An inhibitor of mutant IDH1 delays growth and promotes differentiation of glioma cells.Science (New York, N.Y.), , May-03, Volume: 340, Issue:6132, 2013
Cancer. Silencing a metabolic oncogene.Science (New York, N.Y.), , May-03, Volume: 340, Issue:6132, 2013
Isocitrate Dehydrogenase Mutation and (R)-2-Hydroxyglutarate: From Basic Discovery to Therapeutics Development.Annual review of biochemistry, , 06-20, Volume: 86, 2017
Cancer. Silencing a metabolic oncogene.Science (New York, N.Y.), , May-03, Volume: 340, Issue:6132, 2013
Extracellular glutamate and IDH1Journal of neuro-oncology, , Volume: 146, Issue:3, 2020
Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening.Bioorganic & medicinal chemistry letters, , 02-01, Volume: 28, Issue:3, 2018
Rapid Conversion of Mutant IDH1 from Driver to Passenger in a Model of Human Gliomagenesis.Molecular cancer research : MCR, , Volume: 14, Issue:10, 2016
Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity.Journal of medicinal chemistry, , Oct-23, Volume: 57, Issue:20, 2014
Rapid Conversion of Mutant IDH1 from Driver to Passenger in a Model of Human Gliomagenesis.Molecular cancer research : MCR, , Volume: 14, Issue:10, 2016
An inhibitor of mutant IDH1 delays growth and promotes differentiation of glioma cells.Science (New York, N.Y.), , May-03, Volume: 340, Issue:6132, 2013
Cancer. Silencing a metabolic oncogene.Science (New York, N.Y.), , May-03, Volume: 340, Issue:6132, 2013
Zinc Finger MYND-Type Containing 8 (ZMYND8) Is Epigenetically Regulated in Mutant Isocitrate Dehydrogenase 1 (IDH1) Glioma to Promote Radioresistance.Clinical cancer research : an official journal of the American Association for Cancer Research, , 05-01, Volume: 29, Issue:9, 2023
Identification and characterization of a novel mutant isocitrate dehydrogenase 1 inhibitor for glioma treatment.Biochemical and biophysical research communications, , 04-30, Volume: 551, 2021
Extracellular glutamate and IDH1Journal of neuro-oncology, , Volume: 146, Issue:3, 2020
Synthesis and evaluation of radiolabeled AGI-5198 analogues as candidate radiotracers for imaging mutant IDH1 expression in tumors.Bioorganic & medicinal chemistry letters, , 02-15, Volume: 28, Issue:4, 2018
Identification of novel allosteric inhibitors of mutant isocitrate dehydrogenase 1 by cross docking-based virtual screening.Bioorganic & medicinal chemistry letters, , 02-01, Volume: 28, Issue:3, 2018
Rapid Conversion of Mutant IDH1 from Driver to Passenger in a Model of Human Gliomagenesis.Molecular cancer research : MCR, , Volume: 14, Issue:10, 2016
Metabolomic comparison between cells over-expressing isocitrate dehydrogenase 1 and 2 mutants and the effects of an inhibitor on the metabolism.Journal of neurochemistry, , Volume: 132, Issue:2, 2015
Inhibition of cancer-associated mutant isocitrate dehydrogenases: synthesis, structure-activity relationship, and selective antitumor activity.Journal of medicinal chemistry, , Oct-23, Volume: 57, Issue:20, 2014
Cancer. Silencing a metabolic oncogene.Science (New York, N.Y.), , May-03, Volume: 340, Issue:6132, 2013
An inhibitor of mutant IDH1 delays growth and promotes differentiation of glioma cells.Science (New York, N.Y.), , May-03, Volume: 340, Issue:6132, 2013
Isocitrate Dehydrogenase Mutation and (R)-2-Hydroxyglutarate: From Basic Discovery to Therapeutics Development.Annual review of biochemistry, , 06-20, Volume: 86, 2017
Cancer. Silencing a metabolic oncogene.Science (New York, N.Y.), , May-03, Volume: 340, Issue:6132, 2013
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