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:90-04-0
Name:2-Anisidine
Description:
Labels:training
CAS:90-04-0
InChi Code:InChI=1S/C7H9NO/c1-9-7-5-3-2-4-6(7)8/h2-5H,8H2,1H3

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)