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:976-71-6
Name:Canrenone
Description:
Labels:eval
CAS:976-71-6
InChi Code:InChI=1S/C22H28O3/c1-20-9-5-15(23)13-14(20)3-4-16-17(20)6-10-21(2)18(16)7-11-22(21)12-8-19(24)25-22/h3-4,13,16-18H,5-12H2,1-2H3

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Evaluation set)