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: | 127-39-9 | |
|---|---|---|
| Name: | Sodium 1,4-diisobutyl sulfosuccinate | |
| Description: | ||
| Labels: | training | |
| CAS: | 127-39-9 | |
| InChi Code: | InChI=1S/C12H22O7S/c1-8(2)6-18-11(13)5-10(20(15,16)17)12(14)19-7-9(3)4/h8-10H,5-7H2,1-4H3,(H,15,16,17) |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Training set) |