Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e7240 | |
|---|---|---|
| Name: | 1,2-Pyrrolidinedicarboxylicacid,4-fluoro-,1-(1,1-dimethylethyl)ester,(2S,4S)- | |
| Description: | ||
| Labels: | ||
| CAS: | 203866-13-1 | |
| InChi Code: | InChI=1S/C10H16FNO4/c1-10(2,3)16-9(15)12-5-6(11)4-7(12)8(13)14/h6-7H,4-5H2,1-3H3,(H,13,14) |
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) |