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:434-22-0
Name:Nandrolone
Description:
Labels:eval
CAS:434-22-0
InChi Code:InChI=1S/C18H26O2/c1-18-9-8-14-13-5-3-12(19)10-11(13)2-4-15(14)16(18)6-7-17(18)20/h10,13-17,20H,2-9H2,1H3

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Evaluation set)