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:32784-82-0
Name:Improsulfan tosylate
Description:
Labels:eval
CAS:32784-82-0
InChi Code:InChI=1S/C8H19NO6S2/c1-16(10,11)14-7-3-5-9-6-4-8-15-17(2,12)13/h9H,3-8H2,1-2H3

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Evaluation set)