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:1679-64-7
Name:1,4-Benzenedicarboxylic acid, monomethyl ester
Description:
Labels:eval
CAS:1679-64-7
InChi Code:InChI=1S/C9H8O4/c1-13-9(12)7-4-2-6(3-5-7)8(10)11/h2-5H,1H3,(H,10,11)

Properties

BindingClass: Activity in Androgen Receptor

ValueSource or prediction
0

experimental value

0

Procedure_13: Multivariate Logistic Regression Model (Evaluation set)