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:15686-72-3
Name:Tibrofan
Description:
Labels:eval
CAS:15686-72-3
InChi Code:InChI=1S/C11H6Br3NOS/c12-6-1-3-7(4-2-6)15-11(16)9-5-8(13)10(14)17-9/h1-5H,(H,15,16)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
1

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Evaluation set)