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: | 57-96-5 | |
|---|---|---|
| Name: | Sulfinpyrazone | |
| Description: | ||
| Labels: | eval | |
| CAS: | 57-96-5 | |
| InChi Code: | InChI=1S/C23H20N2O3S/c26-22-21(16-17-29(28)20-14-8-3-9-15-20)23(27)25(19-12-6-2-7-13-19)24(22)18-10-4-1-5-11-18/h1-15,21H,16-17H2 |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |