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_47377
Name:AVE6324
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C31H35ClN4O7S/c1-5-40-31(39)42-19(4)41-30(38)20-6-7-24-21(14-20)15-25(29(37)33-22-10-12-35(13-11-22)18(2)3)36(24)17-23-16-26(43-34-23)27-8-9-28(32)44-27/h6-9,14-16,18-19,22H,5,10-13,17H2,1-4H3,(H,33,37)/t19-/m1/s1

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)