Page last updated: 2024-08-02 22:15:39
sb 706504
Description
Cross-References
| ID Source | ID |
|---|
| PubMed CID | 11853799 |
| SCHEMBL ID | 4267559 |
| SCHEMBL ID | 13853009 |
| MeSH ID | M0529673 |
Synonyms (8)
| Synonym |
|---|
| SCHEMBL4267559 |
| SCHEMBL13853009 |
| AKOS025142041 |
| n-cyano-n'-[2-[[8-(2,6-difluorophenyl)-4-(4-fluoro-2-methylphenyl)-7,8-dihydro-7-oxopyrido[2,3-d]pyrimidin-2-yl]amino]ethyl]guanidine |
| sb 706504 |
| n-cyano-n'-[2-[[8-(2,6-difluorophenyl)-4-(4-fluoro-2-methylphenyl)-7,8-dihydro-7-oxopyrido[2,3-d]pyrimidin-2-yl]amino]ethyl]-guanidine |
| NCGC00387225-01 |
| 1-cyano-2-[2-[[8-(2,6-difluorophenyl)-4-(4-fluoro-2-methylphenyl)-7-oxopyrido[2,3-d]pyrimidin-2-yl]amino]ethyl]guanidine |
Protein Targets (7)
Potency Measurements
Bioassays (8)
| Assay ID | Title | Year | Journal | Article |
|---|
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
Research
Studies (6)
| 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 | 3 (50.00) | 24.3611 |
| 2020's | 3 (50.00) | 2.80 |
Study Types
| Publication Type | This drug (%) | All Drugs (%) |
|---|
| Trials | 0 (0.00%) | 5.53% |
| Reviews | 0 (0.00%) | 6.00% |
| Case Studies | 0 (0.00%) | 4.05% |
| Observational | 0 (0.00%) | 0.25% |
| Other | 6 (100.00%) | 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 |
| 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 |
| cyclosporine | | | | 2017 | 2020 | 5.5 | high | 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 |
| 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 |
| 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 |
| ku-0060648 | | dibenzothiophenes | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| bgt226 | | aromatic ether;
imidazoquinoline;
N-arylpiperazine;
organofluorine compound;
pyridines | antineoplastic agent;
EC 2.7.1.137 (phosphatidylinositol 3-kinase) inhibitor;
mTOR inhibitor | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| n-desmethyldanofloxacin | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
| rabeprazole sodium | | organic sodium salt | | 2017 | 2017 | 7.0 | low | 0 | 0 | 0 | 0 | 1 | 0 |
| azd 1152-hqpa | | anilide;
monofluorobenzenes;
primary alcohol;
pyrazoles;
quinazolines;
secondary amino compound;
secondary carboxamide;
tertiary amino compound | antineoplastic agent;
Aurora kinase inhibitor | 2019 | 2020 | 4.5 | low | 0 | 0 | 0 | 0 | 2 | 0 |
| CDN1163 | | aromatic ether;
quinolines;
secondary carboxamide | SERCA activator | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| gsk 269962a | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| pha 848125 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| 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 |
| agi-5198 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
| cep-32496 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| epz004777 | | N-glycosyl compound | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
| 3-[[2-(2-pyridinyl)-6-(1,2,4,5-tetrahydro-3-benzazepin-3-yl)-4-pyrimidinyl]amino]propanoic acid | | organonitrogen heterocyclic compound | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| entecavir | | benzamides;
N-acylpiperidine | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| 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 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| khs101 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| cb-839 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
| gsk-j4 | | organonitrogen heterocyclic compound | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
| pf-06424439 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
| etp-46464 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
| onc201 | | | | 2017 | 2020 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
| kai407 | | | | 2017 | 2020 | 5.3 | high | 0 | 0 | 0 | 0 | 3 | 0 |
| 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 | 5.3 | low | 0 | 0 | 0 | 0 | 3 | 0 |
| oicr-9429 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| lly-507 | | | | 2017 | 2020 | 5.3 | medium | 0 | 0 | 0 | 0 | 3 | 0 |
| 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
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue: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
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models 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
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.Scientific reports, , 11-26, Volume: 10, Issue:1, 2020
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.Bioorganic & medicinal chemistry, , 07-15, Volume: 27, Issue:14, 2019
Highly predictive and interpretable models for PAMPA permeability.Bioorganic & medicinal chemistry, , 02-01, Volume: 25, Issue:3, 2017
Bioavailability (2)