Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5804 | |
|---|---|---|
| Name: | Fenoverine | |
| Description: | ||
| Labels: | ||
| CAS: | 37561-27-6 | |
| InChi Code: | InChI=1S/C26H25N3O3S/c30-26(29-20-5-1-3-7-24(20)33-25-8-4-2-6-21(25)29)17-28-13-11-27(12-14-28)16-19-9-10-22-23(15-19)32-18-31-22/h1-10,15H,11-14,16-18H2 |
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) |