Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | t682 | |
|---|---|---|
| Name: | Glyceryl monoricinoleate | |
| Description: | ||
| Labels: | ||
| CAS: | 1323-38-2 | |
| InChi Code: | InChI=1S/C21H40O5/c1-2-3-4-11-14-19(23)15-12-9-7-5-6-8-10-13-16-21(25)26-18-20(24)17-22/h9,12,19-20,22-24H,2-8,10-11,13-18H2,1H3/b12-9- |
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 (Training set) |
| inactive |
Tab3.agonists: Model for ER activity on agonists pathway (Out of bag) |
er_ant: Activity in ER antagonist pathway
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| antagonist |
Tab3.antagonists: Model for ER activity on antagonists pathway (Test set) |
er_bin: Binding activity in estrogen receptor
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| inactive |
Tab3.binders: Model for binding in ER (Test set) |