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: | 2050-87-5 | |
|---|---|---|
| Name: | Diallyl trisulfide | |
| Description: | ||
| Labels: | eval | |
| CAS: | 2050-87-5 | |
| InChi Code: | InChI=1S/C6H10S3/c1-3-5-7-9-8-6-4-2/h3-4H,1-2,5-6H2 |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |