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:120-32-1
Name:Clorophene
Description:
Labels:training
CAS:120-32-1
InChi Code:InChI=1S/C13H11ClO/c14-12-6-7-13(15)11(9-12)8-10-4-2-1-3-5-10/h1-7,9,15H,8H2

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

1

Procedure_13: Multivariate Logistic Regression Model (Training set)