Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e4189 | |
|---|---|---|
| Name: | Azabuperone | |
| Description: | ||
| Labels: | ||
| CAS: | 2856-81-7 | |
| InChi Code: | InChI=1S/C17H23FN2O/c18-15-7-5-14(6-8-15)17(21)4-2-9-19-11-12-20-10-1-3-16(20)13-19/h5-8,16H,1-4,9-13H2 |
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) |