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:219790-72-4
Name:SB281832
Description:
Labels:training
CAS:219790-72-4
InChi Code:InChI=1S/C22H19FN4O3/c23-16-8-6-15(7-9-16)20-21(27(14-25-20)17(12-28)13-29)19-10-11-24-22(26-19)30-18-4-2-1-3-5-18/h1-11,14,17,28-29H,12-13H2

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)