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:107071-66-9
Name:Ro 23-7637
Description:
Labels:training
CAS:107071-66-9
InChi Code:InChI=1S/C33H40N2O/c36-33(20-12-4-2-1-3-7-14-29-15-13-23-34-27-29)35-24-21-28(22-25-35)26-32(30-16-8-5-9-17-30)31-18-10-6-11-19-31/h5-6,8-11,13,15-19,23,26-28H,1-4,7,12,14,20-22,24-25H2

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)