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_48172
Name:PharmaGSID_48172
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C23H24N4O3S/c28-22-17-7-3-4-8-18(17)23(29)27(22)14-11-20-24-21(30-25-20)19-10-9-16(31-19)15-26-12-5-1-2-6-13-26/h3-4,7-10H,1-2,5-6,11-15H2

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)