Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e1900 | |
|---|---|---|
| Name: | Piperonyl sulfoxide | |
| Description: | ||
| Labels: | ||
| CAS: | 120-62-7 | |
| InChi Code: | InChI=1S/C18H28O3S/c1-3-4-5-6-7-8-11-22(19)15(2)12-16-9-10-17-18(13-16)21-14-20-17/h9-10,13,15H,3-8,11-12,14H2,1-2H3 |
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 (Evaluation set) |
er_ant: Activity in ER antagonist pathway
| Value | Source or prediction |
|---|---|
| antagonist |
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 |
|---|---|
| binder |
experimental value |
| binder |
Tab3.binders: Model for binding in ER (Evaluation set) |