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:181640-09-5
Name:SR144190
Description:
Labels:training
CAS:181640-09-5
InChi Code:InChI=1S/C33H38F2N4O3/c1-37(2)31(41)36-32(26-11-7-4-8-12-26)15-18-38(19-16-32)20-17-33(27-13-14-28(34)29(35)23-27)24-39(21-22-42-33)30(40)25-9-5-3-6-10-25/h3-14,23H,15-22,24H2,1-2H3,(H,36,41)/t33-/m0/s1

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Training set)