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: | 331-39-5 | |
|---|---|---|
| Name: | Caffeic acid | |
| Description: | ||
| Labels: | eval | |
| CAS: | 331-39-5 | |
| InChi Code: | InChI=1S/C9H8O4/c10-7-3-1-6(5-8(7)11)2-4-9(12)13/h1-5,10-11H,(H,12,13) |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 1 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |