Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | t1363 | |
|---|---|---|
| Name: | Acid orange 156 | |
| Description: | ||
| Labels: | ||
| CAS: | 68555-86-2 | |
| InChi Code: | InChI=1S/C21H20N4O5S/c1-14-12-20(25-23-15-4-8-17(29-2)9-5-15)21(30-3)13-19(14)24-22-16-6-10-18(11-7-16)31(26,27)28/h4-13H,1-3H3,(H,26,27,28)/b24-22+,25-23+ |
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) |