Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | t1122 | |
|---|---|---|
| Name: | PHA-00543613 | |
| Description: | ||
| Labels: | ||
| CAS: | 478149-53-0 | |
| InChi Code: | InChI=1S/C15H17N3O2/c19-15(12-7-11-3-6-20-14(11)8-16-12)17-13-9-18-4-1-10(13)2-5-18/h3,6-8,10,13H,1-2,4-5,9H2,(H,17,19) |
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 (Test 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 (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) |