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: | 1072-15-7 | |
|---|---|---|
| Name: | Sulfuric acid, monononyl ester, sodium salt | |
| Description: | ||
| Labels: | training | |
| CAS: | 1072-15-7 | |
| InChi Code: | InChI=1S/C9H20O4S/c1-2-3-4-5-6-7-8-9-13-14(10,11)12/h2-9H2,1H3,(H,10,11,12) |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Training set) |