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: | 5205-82-3 | |
|---|---|---|
| Name: | Bevonium metilsulfate | |
| Description: | ||
| Labels: | eval | |
| CAS: | 5205-82-3 | |
| InChi Code: | InChI=1S/C22H28NO3/c1-23(2)16-10-9-15-20(23)17-26-21(24)22(25,18-11-5-3-6-12-18)19-13-7-4-8-14-19/h3-8,11-14,20,25H,9-10,15-17H2,1-2H3/q+1 |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |