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:136042-19-8
Name:FR130739
Description:
Labels:training
CAS:136042-19-8
InChi Code:InChI=1S/C24H23N7/c1-2-3-10-22-26-21-9-6-15-25-24(21)31(22)16-17-11-13-18(14-12-17)19-7-4-5-8-20(19)23-27-29-30-28-23/h4-9,11-15H,2-3,10,16H2,1H3,(H,27,28,29,30)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)