Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e3670 | |
|---|---|---|
| Name: | ?-Methylfentanyl hydrochloride | |
| Description: | ||
| Labels: | ||
| CAS: | 1443-44-3 | |
| InChi Code: | InChI=1S/C23H30N2O/c1-3-23(26)25(21-12-8-5-9-13-21)22-14-16-24(17-15-22)19(2)18-20-10-6-4-7-11-20/h4-13,19,22H,3,14-18H2,1-2H3 |
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 |
| binder |
Tab3.binders: Model for binding in ER (Evaluation set) |