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:588941-45-1
Name:PharmaGSID_48506
Description:
Labels:training
CAS:588941-45-1
InChi Code:InChI=1S/C19H22ClN3O3S/c1-27(25,26)17-7-6-14(11-16(17)20)15(10-13-4-2-3-5-13)19(24)23-18-12-21-8-9-22-18/h6-9,11-13,15H,2-5,10H2,1H3,(H,22,23,24)/t15-/m1/s1

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)