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:e6595
Name:Tiracizine
Description:
Labels:
CAS:83275-56-3
InChi Code:InChI=1S/C21H25N3O3/c1-4-27-21(26)22-17-12-11-16-10-9-15-7-5-6-8-18(15)24(19(16)13-17)20(25)14-23(2)3/h5-8,11-13H,4,9-10,14H2,1-3H3,(H,22,26)

Properties

er_ago: Activity in ER agonist pathway

ValueSource or prediction
inactive

experimental value

inactive

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

er_ant: Activity in ER antagonist pathway

ValueSource or prediction
inactive

experimental value

antagonist

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

er_bin: Binding activity in estrogen receptor

ValueSource or prediction
inactive

experimental value

inactive

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