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_47389
Name:SAR150640
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C25H34N2O7S/c1-3-33-25(30)19-6-4-17(5-7-19)18-8-10-20(11-9-18)26-15-21(28)16-34-22-12-13-24(29)23(14-22)27-35(2,31)32/h4-7,12-14,18,20-21,26-29H,3,8-11,15-16H2,1-2H3/t18-,20-,21-/m0/s1

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)