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:162706-14-1
Name:UK-156819
Description:
Labels:training
CAS:162706-14-1
InChi Code:InChI=1S/C19H20N2O2/c1-14-19(15-7-6-11-20-13-15)16-8-2-3-9-17(16)21(14)12-5-4-10-18(22)23/h2-3,6-9,11,13H,4-5,10,12H2,1H3,(H,22,23)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)