Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5082 | |
|---|---|---|
| Name: | Fezatione | |
| Description: | ||
| Labels: | ||
| CAS: | 15387-18-5 | |
| InChi Code: | InChI=1S/C17H14N2S2/c1-13-7-9-14(10-8-13)11-18-19-16(12-21-17(19)20)15-5-3-2-4-6-15/h2-12H,1H3/b18-11+ |
Properties
er_ago: Activity in ER agonist pathway
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| agonist |
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 |
| binder |
Tab3.binders: Model for binding in ER (Evaluation set) |