Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5990 | |
|---|---|---|
| Name: | Bis(2,2,6,6-tetramethyl-4-piperidyl) sebacate | |
| Description: | ||
| Labels: | ||
| CAS: | 52829-07-9 | |
| InChi Code: | InChI=1S/C28H52N2O4/c1-25(2)17-21(18-26(3,4)29-25)33-23(31)15-13-11-9-10-12-14-16-24(32)34-22-19-27(5,6)30-28(7,8)20-22/h21-22,29-30H,9-20H2,1-8H3 |
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 |
| 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) |