Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5617 | |
|---|---|---|
| Name: | Fluacizine | |
| Description: | ||
| Labels: | ||
| CAS: | 30223-48-4 | |
| InChi Code: | InChI=1S/C20H21F3N2OS/c1-3-24(4-2)12-11-19(26)25-15-7-5-6-8-17(15)27-18-10-9-14(13-16(18)25)20(21,22)23/h5-10,13H,3-4,11-12H2,1-2H3 |
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) |