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:1072-53-3
Name:Ethylene glycol, cyclic sulfate
Description:
Labels:eval
CAS:1072-53-3
InChi Code:InChI=1S/C2H4O4S/c3-7(4)5-1-2-6-7/h1-2H2

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Evaluation set)