10967/259 - QDB Compounds

QsarDB Repository

Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.

Compound

ID:t970
Name:SSR146977
Description:
Labels:
CAS:264618-44-2
InChi Code:InChI=1S/C35H42Cl2N4O2/c1-39(2)33(43)38-35(28-13-7-4-8-14-28)19-23-40(24-20-35)21-9-17-34(29-15-16-30(36)31(37)25-29)18-10-22-41(26-34)32(42)27-11-5-3-6-12-27/h3-8,11-16,25H,9-10,17-24,26H2,1-2H3,(H,38,43)

Properties

er_ago: Activity in ER agonist pathway

ValueSource or prediction
inactive

experimental value

inactive

Tab3.agonists: Model for ER activity on agonists pathway (Test set)

er_ant: Activity in ER antagonist pathway

ValueSource or prediction
inactive

experimental value

antagonist

Tab3.antagonists: Model for ER activity on antagonists pathway (Test set)

er_bin: Binding activity in estrogen receptor

ValueSource or prediction
inactive

experimental value

inactive

Tab3.binders: Model for binding in ER (Test set)