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:t843
Name:SL650472
Description:
Labels:
CAS:189003-92-7
InChi Code:InChI=1S/C24H24FN5O2S/c25-17-1-2-18-16(13-23(32)30(15-22(26)31)20(18)14-17)4-7-28-8-10-29(11-9-28)24-19-5-12-33-21(19)3-6-27-24/h1-3,5-6,12-14H,4,7-11,15H2,(H2,26,31)

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

inactive

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)