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: | 102-87-4 | |
|---|---|---|
| Name: | Tridodecylamine | |
| Description: | ||
| Labels: | eval | |
| CAS: | 102-87-4 | |
| InChi Code: | InChI=1S/C36H75N/c1-4-7-10-13-16-19-22-25-28-31-34-37(35-32-29-26-23-20-17-14-11-8-5-2)36-33-30-27-24-21-18-15-12-9-6-3/h4-36H2,1-3H3 |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 0 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Evaluation set) |