Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e4985 | |
|---|---|---|
| Name: | Aconiazide | |
| Description: | ||
| Labels: | ||
| CAS: | 13410-86-1 | |
| InChi Code: | InChI=1S/C15H13N3O4/c19-14(20)10-22-13-4-2-1-3-12(13)9-17-18-15(21)11-5-7-16-8-6-11/h1-9H,10H2,(H,18,21)(H,19,20)/b17-9+ |
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 |
| 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 |
| inactive |
Tab3.binders: Model for binding in ER (Evaluation set) |