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: | 69004-04-2 | |
|---|---|---|
| Name: | Toltrazuril sulfone | |
| Description: | ||
| Labels: | eval | |
| CAS: | 69004-04-2 | |
| InChi Code: | InChI=1S/C18H14F3N3O6S/c1-10-9-11(24-16(26)22-15(25)23(2)17(24)27)3-8-14(10)30-12-4-6-13(7-5-12)31(28,29)18(19,20)21/h3-9H,1-2H3,(H,22,25,26) |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 1 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |