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:95-85-2
Name:2-Amino-4-chlorophenol
Description:
Labels:eval
CAS:95-85-2
InChi Code:InChI=1S/C6H6ClNO/c7-4-1-2-6(9)5(8)3-4/h1-3,9H,8H2

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Evaluation set)