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:e5996
Name:Nisoxetine
Description:
Labels:
CAS:53179-07-0
InChi Code:InChI=1S/C17H21NO2/c1-18-13-12-15(14-8-4-3-5-9-14)20-17-11-7-6-10-16(17)19-2/h3-11,15,18H,12-13H2,1-2H3

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

binder

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