Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5315 | |
|---|---|---|
| Name: | Lifibrate | |
| Description: | ||
| Labels: | ||
| CAS: | 22204-91-7 | |
| InChi Code: | InChI=1S/C20H21Cl2NO4/c1-23-12-10-18(11-13-23)25-19(24)20(26-16-6-2-14(21)3-7-16)27-17-8-4-15(22)5-9-17/h2-9,18,20H,10-13H2,1H3 |
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) |