Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e6542 | |
|---|---|---|
| Name: | Emiglitate | |
| Description: | ||
| Labels: | ||
| CAS: | 80879-63-6 | |
| InChi Code: | InChI=1S/C17H25NO7/c1-2-24-17(23)11-3-5-12(6-4-11)25-8-7-18-9-14(20)16(22)15(21)13(18)10-19/h3-6,13-16,19-22H,2,7-10H2,1H3 |
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) |