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: | 94-19-9 | |
|---|---|---|
| Name: | Sulfaethidole | |
| Description: | ||
| Labels: | eval | |
| CAS: | 94-19-9 | |
| InChi Code: | InChI=1S/C10H12N4O2S2/c1-2-9-12-13-10(17-9)14-18(15,16)8-5-3-7(11)4-6-8/h3-6H,2,11H2,1H3,(H,13,14) |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |