Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5375 | |
|---|---|---|
| Name: | Metrifudil | |
| Description: | ||
| Labels: | ||
| CAS: | 23707-33-7 | |
| InChi Code: | InChI=1S/C18H21N5O4/c1-10-4-2-3-5-11(10)6-19-16-13-17(21-8-20-16)23(9-22-13)18-15(26)14(25)12(7-24)27-18/h2-5,8-9,12,14-15,18,24-26H,6-7H2,1H3,(H,19,20,21) |
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) |