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: | 2353-45-9 | |
|---|---|---|
| Name: | FD&C Green No. 3 | |
| Description: | ||
| Labels: | training | |
| CAS: | 2353-45-9 | |
| InChi Code: | InChI=1S/C37H36N2O10S3/c1-3-38(24-26-7-5-9-33(21-26)50(41,42)43)30-15-11-28(12-16-30)37(35-20-19-32(40)23-36(35)52(47,48)49)29-13-17-31(18-14-29)39(4-2)25-27-8-6-10-34(22-27)51(44,45)46/h5-23H,3-4,24-25H2,1-2H3,(H3,41,42,43,44,45,46,47,48,49)/p+1 |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 1 |
experimental value |
| 0 |
Procedure_13: Multivariate Logistic Regression Model (Training set) |