Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5783 | |
|---|---|---|
| Name: | ARCAINE SULFATE | |
| Description: | ||
| Labels: | ||
| CAS: | 36587-93-6 | |
| InChi Code: | InChI=1S/C6H16N6/c7-5(8)11-3-1-2-4-12-6(9)10/h1-4H2,(H4,7,8,11)(H4,9,10,12) |
Properties
er_ago: Activity in ER agonist pathway
| Value | Source or prediction |
|---|---|
| agonist |
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 |
|---|---|
| binder |
experimental value |
| inactive |
Tab3.binders: Model for binding in ER (Evaluation set) |