Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e4647 | |
|---|---|---|
| Name: | Triamcinolone hexacetonide | |
| Description: | ||
| Labels: | ||
| CAS: | 5611-51-8 | |
| InChi Code: | InChI=1S/C30H41FO7/c1-25(2,3)15-24(35)36-16-22(34)30-23(37-26(4,5)38-30)13-20-19-9-8-17-12-18(32)10-11-27(17,6)29(19,31)21(33)14-28(20,30)7/h10-12,19-21,23,33H,8-9,13-16H2,1-7H3 |
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) |