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: | 149062-75-9 | |
|---|---|---|
| Name: | PharmaGSID_47259 | |
| Description: | ||
| Labels: | training | |
| CAS: | 149062-75-9 | |
| InChi Code: | InChI=1S/C13H14Cl2N2/c14-9-6-11(15)10-8-17-5-3-1-2-4-13(17)16-12(10)7-9/h6-7H,1-5,8H2 |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Training set) |