Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | t889 | |
|---|---|---|
| Name: | UK-343664 | |
| Description: | ||
| Labels: | ||
| CAS: | 215297-27-1 | |
| InChi Code: | InChI=1S/C28H35N7O4S/c1-4-17-39-24-11-10-21(40(37,38)34-15-13-33(6-3)14-16-34)18-22(24)27-30-25-23(5-2)35(32-26(25)28(36)31-27)19-20-9-7-8-12-29-20/h7-12,18H,4-6,13-17,19H2,1-3H3,(H,30,31,36) |
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) |