Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e2706 | |
|---|---|---|
| Name: | Santonic acid | |
| Description: | ||
| Labels: | ||
| CAS: | 510-35-0 | |
| InChi Code: | InChI=1S/C15H20O4/c1-7-9(16)6-10-14(3)4-5-15(10,8(2)13(18)19)12(17)11(7)14/h7-8,10-11H,4-6H2,1-3H3,(H,18,19) |
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 |
| inactive |
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) |