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: | 80288-49-9 | |
|---|---|---|
| Name: | Furafylline | |
| Description: | ||
| Labels: | eval | |
| CAS: | 80288-49-9 | |
| InChi Code: | InChI=1S/C12H12N4O3/c1-7-13-9-10(14-7)16(6-8-4-3-5-19-8)12(18)15(2)11(9)17/h3-5H,6H2,1-2H3,(H,13,14) |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |