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:	94-74-6
	Name:	MCPA
	Description:
	Labels:	training, eval
	CAS:	94-74-6
	InChi Code:	InChI=1S/C9H9ClO3/c1-6-4-7(10)2-3-8(6)13-5-9(11)12/h2-4H,5H2,1H3,(H,11,12)

Properties

BindingClass: Activity in Androgen Receptor

Value	Source or prediction
0	experimental value
0	Procedure_13: Multivariate Logistic Regression Model (Training set)
0	Procedure_13: Multivariate Logistic Regression Model (Evaluation set)