Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e3497 | |
|---|---|---|
| Name: | Glyoctamide | |
| Description: | ||
| Labels: | ||
| CAS: | 1038-59-1 | |
| InChi Code: | InChI=1S/C16H24N2O3S/c1-13-9-11-15(12-10-13)22(20,21)18-16(19)17-14-7-5-3-2-4-6-8-14/h9-12,14H,2-8H2,1H3,(H2,17,18,19) |
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) |