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:827-21-4
Name:Sodium m-xylene-4-sulfonate
Description:
Labels:training
CAS:827-21-4
InChi Code:InChI=1S/C8H10O3S/c1-6-3-4-8(7(2)5-6)12(9,10)11/h3-5H,1-2H3,(H,9,10,11)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value
0

Procedure_13: Multivariate Logistic Regression Model (Training set)