Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e6402 | |
|---|---|---|
| Name: | 1,2-Benzenedicarboxylic acid, di-C6-8-branched alkyl esters, C7-rich | |
| Description: | ||
| Labels: | ||
| CAS: | 71888-89-6 | |
| InChi Code: | InChI=1S/C22H34O4/c1-17(2)11-7-9-15-25-21(23)19-13-5-6-14-20(19)22(24)26-16-10-8-12-18(3)4/h5-6,13-14,17-18H,7-12,15-16H2,1-4H3 |
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 |
| binder |
Tab3.binders: Model for binding in ER (Evaluation set) |