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_47385
Name:SAR377142
Description:
Labels:training
CAS:
InChi Code:InChI=1S/C26H33ClN6O4/c1-17(2)32-8-6-20(7-9-32)30-26(35)21-12-18-13-25(37-11-10-36-3)29-15-22(18)33(21)16-24(34)31-23-5-4-19(27)14-28-23/h4-5,12-15,17,20H,6-11,16H2,1-3H3,(H,30,35)(H,28,31,34)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)