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_47362
Name:SSR150106
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C17H17NO3/c1-2-20-16(19)17(12-8-4-3-5-9-12)15(18)13-10-6-7-11-14(13)21-17/h3-11,15H,2,18H2,1H3/t15-,17+/m0/s1

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)