Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e6629 | |
|---|---|---|
| Name: | Gusperimus trihydrochloride | |
| Description: | ||
| Labels: | ||
| CAS: | 85468-01-5 | |
| InChi Code: | InChI=1S/C17H37N7O3/c18-9-7-11-21-10-5-6-12-22-15(26)16(27)24-14(25)8-3-1-2-4-13-23-17(19)20/h16,21,27H,1-13,18H2,(H,22,26)(H,24,25)(H4,19,20,23) |
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) |