Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5079 | |
|---|---|---|
| Name: | Nicofuranose | |
| Description: | ||
| Labels: | ||
| CAS: | 15351-13-0 | |
| InChi Code: | InChI=1S/C30H24N4O10/c35-26(19-5-1-9-31-13-19)40-17-23-24(42-28(37)21-7-3-11-33-15-21)25(43-29(38)22-8-4-12-34-16-22)30(39,44-23)18-41-27(36)20-6-2-10-32-14-20/h1-16,23-25,39H,17-18H2 |
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) |