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_47364
Name:SSR103800
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C22H21Cl2F3N2O/c23-17-7-6-16(22(25,26)27)19(24)18(17)21(30)28-20(14-4-2-1-3-5-14)15-12-29-10-8-13(15)9-11-29/h1-7,13,15,20H,8-12H2,(H,28,30)/t15-,20-/m1/s1

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)