Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2024, 347, 140671.
Compound
| ID: | e5920 | |
|---|---|---|
| Name: | Azaclorzine | |
| Description: | ||
| Labels: | ||
| CAS: | 49864-70-2 | |
| InChi Code: | InChI=1S/C22H24ClN3OS/c23-16-7-8-21-19(14-16)26(18-5-1-2-6-20(18)28-21)22(27)9-11-24-12-13-25-10-3-4-17(25)15-24/h1-2,5-8,14,17H,3-4,9-13,15H2 |
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 |
| inactive |
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) |