Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5126 | |
|---|---|---|
| Name: | 3,3'-(1,4-Phenylene)bis-2-propenoic acid | |
| Description: | ||
| Labels: | ||
| CAS: | 16323-43-6 | |
| InChi Code: | InChI=1S/C12H10O4/c13-11(14)7-5-9-1-2-10(4-3-9)6-8-12(15)16/h1-8H,(H,13,14)(H,15,16)/b7-5+,8-6+ |
Properties
er_ago: Activity in ER agonist pathway
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| agonist |
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) |