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: | 2782-57-2 | |
|---|---|---|
| Name: | Troclosene | |
| Description: | ||
| Labels: | training, eval | |
| CAS: | 2782-57-2 | |
| InChi Code: | InChI=1S/C3HCl2N3O3/c4-7-1(9)6-2(10)8(5)3(7)11/h(H,6,9,10) |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Training set) |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |