Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | t1044 | |
|---|---|---|
| Name: | Hexanedioic acid, diisononyl ester | |
| Description: | ||
| Labels: | ||
| CAS: | 33703-08-1 | |
| InChi Code: | InChI=1S/C24H46O4/c1-21(2)15-9-5-7-13-19-27-23(25)17-11-12-18-24(26)28-20-14-8-6-10-16-22(3)4/h21-22H,5-20H2,1-4H3 |
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) |