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:NOCAS_47366
Name:SAR115740
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C24H17F2N3O/c25-18-3-1-2-15(10-18)14-29-22-7-4-19(26)11-17(22)13-23(29)24(30)28-20-5-6-21-16(12-20)8-9-27-21/h1-13,27H,14H2,(H,28,30)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)