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:e5349
Name:Virginiamycin S1
Description:
Labels:
CAS:23152-29-6
InChi Code:InChI=1S/C43H49N7O10/c1-4-29-40(56)49-21-12-17-30(49)41(57)48(3)32(23-26-13-7-5-8-14-26)42(58)50-22-19-28(51)24-31(50)37(53)47-35(27-15-9-6-10-16-27)43(59)60-25(2)34(38(54)45-29)46-39(55)36-33(52)18-11-20-44-36/h5-11,13-16,18,20,25,29-32,34-35,52H,4,12,17,19,21-24H2,1-3H3,(H,45,54)(H,46,55)(H,47,53)

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

inactive

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