Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5693 | |
|---|---|---|
| Name: | Ftormetazine | |
| Description: | ||
| Labels: | ||
| CAS: | 33414-30-1 | |
| InChi Code: | InChI=1S/C21H22F3N3OS/c1-25-10-12-26(13-11-25)9-8-20(28)27-16-4-2-3-5-18(16)29-19-7-6-15(14-17(19)27)21(22,23)24/h2-7,14H,8-13H2,1H3 |
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) |