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_48505
Name:PharmaGSID_48505
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C17H12ClN5O2/c1-9-15-17(22-21-9)19-14-7-6-10(23(24)25)8-12(14)16(20-15)11-4-2-3-5-13(11)18/h2-8H,1H3,(H2,19,21,22)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)