Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | t212 | |
|---|---|---|
| Name: | Fenhexamid | |
| Description: | ||
| Labels: | ||
| CAS: | 126833-17-8 | |
| InChi Code: | InChI=1S/C14H17Cl2NO2/c1-14(7-3-2-4-8-14)13(19)17-9-5-6-10(18)12(16)11(9)15/h5-6,18H,2-4,7-8H2,1H3,(H,17,19) |
Properties
er_ago: Activity in ER agonist pathway
| Value | Source or prediction |
|---|---|
| agonist |
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 |
|---|---|
| antagonist |
experimental value |
| antagonist |
Tab3.antagonists: Model for ER activity on antagonists pathway (Training set) |
| antagonist |
Tab3.antagonists: Model for ER activity on antagonists pathway (Out of bag) |
er_bin: Binding activity in estrogen receptor
| Value | Source or prediction |
|---|---|
| binder |
experimental value |
| binder |
Tab3.binders: Model for binding in ER (Test set) |