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_47333
Name:PharmaGSID_47333
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C22H30N4O2/c1-16-24-14-19(15-25-16)18(13-21(27)28)7-4-2-3-5-9-20-11-10-17-8-6-12-23-22(17)26-20/h10-11,14-15,18H,2-9,12-13H2,1H3,(H,23,26)(H,27,28)/t18-/m0/s1

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)