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_47353
Name:SSR241586
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C32H42Cl2N4O3/c1-35(2)30(40)31(38-16-7-4-8-17-38)13-18-36(19-14-31)20-15-32(26-11-12-27(33)28(34)23-26)24-37(21-22-41-32)29(39)25-9-5-3-6-10-25/h3,5-6,9-12,23H,4,7-8,13-22,24H2,1-2H3

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)