Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5148 | |
|---|---|---|
| Name: | Amogastrin | |
| Description: | ||
| Labels: | ||
| CAS: | 16870-37-4 | |
| InChi Code: | InChI=1S/C35H46N6O8S/c1-5-35(2,3)49-34(48)41-27(18-22-20-37-24-14-10-9-13-23(22)24)32(46)38-25(15-16-50-4)31(45)40-28(19-29(42)43)33(47)39-26(30(36)44)17-21-11-7-6-8-12-21/h6-14,20,25-28,37H,5,15-19H2,1-4H3,(H2,36,44)(H,38,46)(H,39,47)(H,40,45)(H,41,48)(H,42,43) |
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) |