Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e6662 | |
|---|---|---|
| Name: | Eprobemide | |
| Description: | ||
| Labels: | ||
| CAS: | 87940-60-1 | |
| InChi Code: | InChI=1S/C14H19ClN2O2/c15-13-4-2-12(3-5-13)14(18)16-6-1-7-17-8-10-19-11-9-17/h2-5H,1,6-11H2,(H,16,18) |
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) |