Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2024, 347, 140671.
Compound
| ID: | t293 | |
|---|---|---|
| Name: | 3-Phenyl-2-propen-1-ol | |
| Description: | ||
| Labels: | ||
| CAS: | 104-54-1 | |
| InChi Code: | InChI=1S/C9H10O/c10-8-4-7-9-5-2-1-3-6-9/h1-7,10H,8H2/b7-4+ |
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 (Test 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 (Test set) |
er_bin: Binding activity in estrogen receptor
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| binder |
Tab3.binders: Model for binding in ER (Test set) |