Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e3630 | |
|---|---|---|
| Name: | Pitofenone hydrochloride | |
| Description: | ||
| Labels: | ||
| CAS: | 1248-42-6 | |
| InChi Code: | InChI=1S/C22H25NO4/c1-26-22(25)20-8-4-3-7-19(20)21(24)17-9-11-18(12-10-17)27-16-15-23-13-5-2-6-14-23/h3-4,7-12H,2,5-6,13-16H2,1H3 |
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 |
| antagonist |
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) |