Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e3943 | |
|---|---|---|
| Name: | 5-(5-Nitro-2-furyl)-1,3,4-oxadiazole-2-ol | |
| Description: | ||
| Labels: | ||
| CAS: | 2122-86-3 | |
| InChi Code: | InChI=1S/C6H3N3O5/c10-6-8-7-5(14-6)3-1-2-4(13-3)9(11)12/h1-2H,(H,8,10) |
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 |
| inactive |
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) |