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:106134-33-2
Name:Ro 22-9194
Description:
Labels:eval
CAS:106134-33-2
InChi Code:InChI=1S/C19H25N3O/c1-14-7-4-8-15(2)18(14)22(19(23)16(3)20)12-6-10-17-9-5-11-21-13-17/h4-5,7-9,11,13,16H,6,10,12,20H2,1-3H3

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Evaluation set)