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: | 63358-49-6 | |
|---|---|---|
| Name: | Aspoxicillin | |
| Description: | ||
| Labels: | eval | |
| CAS: | 63358-49-6 | |
| InChi Code: | InChI=1S/C21H27N5O7S/c1-21(2)15(20(32)33)26-18(31)14(19(26)34-21)25-17(30)13(9-4-6-10(27)7-5-9)24-16(29)11(22)8-12(28)23-3/h4-7,11,13-15,19,27H,8,22H2,1-3H3,(H,23,28)(H,24,29)(H,25,30)(H,32,33) |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |