Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e6932 | |
|---|---|---|
| Name: | Mepranoprofen arbamel | |
| Description: | ||
| Labels: | ||
| CAS: | 118635-52-2 | |
| InChi Code: | InChI=1S/C20H22N2O4/c1-12-5-6-15-10-16-9-14(7-8-17(16)26-19(15)21-12)13(2)20(24)25-11-18(23)22(3)4/h5-9,13H,10-11H2,1-4H3 |
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) |