Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e7198 | |
|---|---|---|
| Name: | N-Arachidonylglycine | |
| Description: | ||
| Labels: | ||
| CAS: | 179113-91-8 | |
| InChi Code: | InChI=1S/C22H35NO3/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-21(24)23-20-22(25)26/h6-7,9-10,12-13,15-16H,2-5,8,11,14,17-20H2,1H3,(H,23,24)(H,25,26)/b7-6-,10-9-,13-12-,16-15- |
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) |