Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e6707 | |
|---|---|---|
| Name: | Pravadoline | |
| Description: | ||
| Labels: | ||
| CAS: | 92623-83-1 | |
| InChi Code: | InChI=1S/C23H26N2O3/c1-17-22(23(26)18-7-9-19(27-2)10-8-18)20-5-3-4-6-21(20)25(17)12-11-24-13-15-28-16-14-24/h3-10H,11-16H2,1-2H3 |
Properties
er_ago: Activity in ER agonist pathway
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| inactive |
Tab3.agonists: Model for ER activity on agonists pathway (Evaluation set) |
er_ant: Activity in ER antagonist pathway
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| antagonist |
Tab3.antagonists: Model for ER activity on antagonists pathway (Evaluation set) |
er_bin: Binding activity in estrogen receptor
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| inactive |
Tab3.binders: Model for binding in ER (Evaluation set) |