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: | 87-18-3 | |
|---|---|---|
| Name: | 4-tert-Butylphenyl salicylate | |
| Description: | ||
| Labels: | training | |
| CAS: | 87-18-3 | |
| InChi Code: | InChI=1S/C17H18O3/c1-17(2,3)12-8-10-13(11-9-12)20-16(19)14-6-4-5-7-15(14)18/h4-11,18H,1-3H3 |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Training set) |