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_47265
Name:CP-471358
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C21H23FN2O7S/c22-15-3-5-16(6-4-15)31-17-7-9-18(10-8-17)32(29,30)24(14-11-19(25)26)21(20(27)23-28)12-1-2-13-21/h3-10,28H,1-2,11-14H2,(H,23,27)(H,25,26)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)