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: | 97-16-5 | |
|---|---|---|
| Name: | 2,4-Dichlorophenyl benzenesulfonate | |
| Description: | ||
| Labels: | eval | |
| CAS: | 97-16-5 | |
| InChi Code: | InChI=1S/C12H8Cl2O3S/c13-9-6-7-12(11(14)8-9)17-18(15,16)10-4-2-1-3-5-10/h1-8H |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 1 |
experimental value |
| 1 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |