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:3622-84-2
Name:N-Butylbenzenesulfonamide
Description:
Labels:training
CAS:3622-84-2
InChi Code:InChI=1S/C10H15NO2S/c1-2-3-9-11-14(12,13)10-7-5-4-6-8-10/h4-8,11H,2-3,9H2,1H3

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)