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: | 68-96-2 | |
|---|---|---|
| Name: | 17alpha-Hydroxyprogesterone | |
| Description: | ||
| Labels: | training | |
| CAS: | 68-96-2 | |
| InChi Code: | InChI=1S/C21H30O3/c1-13(22)21(24)11-8-18-16-5-4-14-12-15(23)6-9-19(14,2)17(16)7-10-20(18,21)3/h12,16-18,24H,4-11H2,1-3H3/t16-,17+,18+,19+,20+,21+/m1/s1 |
Properties
BindingClass: Activity in Androgen Receptor
| Value | Source or prediction |
|---|---|
| 1 |
experimental value |
| 1 |
Procedure_13: Multivariate Logistic Regression Model (Training set) |