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_47255
Name:CP-465394
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C20H28N2O5S/c1-12(2)15-8-7-9-16(13(3)4)18(15)21-19(23)22-28(25,26)17-10-14(11-27-17)20(5,6)24/h7-13,24H,1-6H3,(H2,21,22,23)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)