10967/235 - QDB Compounds

QsarDB Repository

Garcia-Sosa, A. T.; Maran, U. Combined Naïve Bayesian, chemical fingerprints, and molecular docking classifiers to model and predict androgen receptor binding activity data for environmentally- and health-sensitive substances. Int. J. Mol. Sci. 2021, 22, 6695.

Compound

ID:NOCAS_48514
Name:PharmaGSID_48514
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C17H16ClNO4S/c1-12-3-8-15(16(18)11-12)17(20)19-24(21,22)10-9-13-4-6-14(23-2)7-5-13/h3-11H,1-2H3,(H,19,20)/b10-9+

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)