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_47374
Name:SSR161421
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C25H20N4O2/c1-31-19-13-11-18(12-14-19)25(30)29-24-21(15-26)23(20-9-5-6-10-22(20)28-24)27-16-17-7-3-2-4-8-17/h2-14H,16H2,1H3,(H2,27,28,29,30)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)