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: | 140-56-7 | |
|---|---|---|
| Name: | Fenaminosulf | |
| Description: | ||
| Labels: | training | |
| CAS: | 140-56-7 | |
| InChi Code: | InChI=1S/C8H11N3O3S/c1-11(2)8-5-3-7(4-6-8)9-10-15(12,13)14/h3-6H,1-2H3,(H,12,13,14)/b10-9+ |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Training set) |