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:e292
Name:Ergonovine
Description:
Labels:
CAS:60-79-7
InChi Code:InChI=1S/C19H23N3O2/c1-11(10-23)21-19(24)13-6-15-14-4-3-5-16-18(14)12(8-20-16)7-17(15)22(2)9-13/h3-6,8,11,13,17,20,23H,7,9-10H2,1-2H3,(H,21,24)

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

inactive

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)