Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e4892 | |
|---|---|---|
| Name: | Aminoquinol | |
| Description: | ||
| Labels: | ||
| CAS: | 10023-54-8 | |
| InChi Code: | InChI=1S/C26H31Cl2N3/c1-4-31(5-2)16-8-9-19(3)29-26-18-22(14-12-20-10-6-7-11-24(20)28)30-25-17-21(27)13-15-23(25)26/h6-7,10-15,17-19H,4-5,8-9,16H2,1-3H3,(H,29,30)/b14-12+ |
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 |
| binder |
Tab3.binders: Model for binding in ER (Evaluation set) |