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:t43
Name:17-Methyltestosterone
Description:
Labels:
CAS:58-18-4
InChi Code:InChI=1S/C20H30O2/c1-18-9-6-14(21)12-13(18)4-5-15-16(18)7-10-19(2)17(15)8-11-20(19,3)22/h12,15-17,22H,4-11H2,1-3H3

Properties

er_ago: Activity in ER agonist pathway

ValueSource or prediction
agonist

experimental value

agonist

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

agonist

Tab3.agonists: Model for ER activity on agonists pathway (Out of bag)

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
binder

experimental value

binder

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

binder

Tab3.binders: Model for binding in ER (Out of bag)