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: | 2432-87-3 | |
|---|---|---|
| Name: | Dioctyl succinate | |
| Description: | ||
| Labels: | training | |
| CAS: | 2432-87-3 | |
| InChi Code: | InChI=1S/C26H50O4/c1-3-5-7-9-15-19-23-29-25(27)21-17-13-11-12-14-18-22-26(28)30-24-20-16-10-8-6-4-2/h3-24H2,1-2H3 |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Training set) |