Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e2828 | |
|---|---|---|
| Name: | Ambazone | |
| Description: | ||
| Labels: | ||
| CAS: | 539-21-9 | |
| InChi Code: | InChI=1S/C8H11N7S/c9-7(10)14-12-5-1-3-6(4-2-5)13-15-8(11)16/h1-4H,(H4,9,10,14)(H3,11,15,16)/b12-5-,13-6+ |
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) |