Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5694 | |
|---|---|---|
| Name: | Ftorpropazine | |
| Description: | ||
| Labels: | ||
| CAS: | 33414-36-7 | |
| InChi Code: | InChI=1S/C22H24F3N3O2S/c23-22(24,25)16-5-6-20-18(15-16)28(17-3-1-2-4-19(17)31-20)21(30)7-8-26-9-11-27(12-10-26)13-14-29/h1-6,15,29H,7-14H2 |
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) |