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: | 106134-33-2 | |
|---|---|---|
| Name: | Ro 22-9194 | |
| Description: | ||
| Labels: | eval | |
| CAS: | 106134-33-2 | |
| InChi Code: | InChI=1S/C19H25N3O/c1-14-7-4-8-15(2)18(14)22(19(23)16(3)20)12-6-10-17-9-5-11-21-13-17/h4-5,7-9,11,13,16H,6,10,12,20H2,1-3H3 |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |