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 2024, 347, 140671.

Compound

ID:t1273
Name:Sulfasalazine
Description:
Labels:
CAS:599-79-1
InChi Code:InChI=1S/C18H14N4O5S/c23-16-9-6-13(11-15(16)18(24)25)21-20-12-4-7-14(8-5-12)28(26,27)22-17-3-1-2-10-19-17/h1-11,23H,(H,19,22)(H,24,25)/b21-20+

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

antagonist

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 (Training set)

binder

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