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:870-72-4
Name:Sodium hydroxymethanesulfonate
Description:
Labels:eval
CAS:870-72-4
InChi Code:InChI=1S/CH4O4S/c2-1-6(3,4)5/h2H,1H2,(H,3,4,5)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Evaluation set)