Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5904 | |
|---|---|---|
| Name: | DL-alpha Tocopheryl nicotinate | |
| Description: | ||
| Labels: | ||
| CAS: | 43119-47-7 | |
| InChi Code: | InChI=1S/C35H53NO3/c1-24(2)13-9-14-25(3)15-10-16-26(4)17-11-20-35(8)21-19-31-29(7)32(27(5)28(6)33(31)39-35)38-34(37)30-18-12-22-36-23-30/h12,18,22-26H,9-11,13-17,19-21H2,1-8H3 |
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 |
| binder |
Tab3.binders: Model for binding in ER (Evaluation set) |