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_47291
Name:CI-1044
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C23H19N5O2/c24-17-11-15-8-10-28-20(15)18(12-17)19(14-5-2-1-3-6-14)26-21(23(28)30)27-22(29)16-7-4-9-25-13-16/h1-7,9,11-13,21H,8,10,24H2,(H,27,29)/t21-/m0/s1

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)