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_47379
Name:SSR126768
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C33H31Cl2N3O4/c1-5-37(19-21-8-7-15-36-18-21)31(39)25-9-6-10-27(35)30(25)33(2)26-16-23(34)12-14-28(26)38(32(33)40)20-22-11-13-24(41-3)17-29(22)42-4/h6-18H,5,19-20H2,1-4H3/t33-/m1/s1

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

1

Procedure_13: Multivariate Logistic Regression Model (Training set)