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:21590-92-1
Name:Etomidoline
Description:
Labels:eval
CAS:21590-92-1
InChi Code:InChI=1S/C23H29N3O2/c1-2-26-22(20-8-4-5-9-21(20)23(26)27)24-18-10-12-19(13-11-18)28-17-16-25-14-6-3-7-15-25/h4-5,8-13,22,24H,2-3,6-7,14-17H2,1H3

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Evaluation set)