Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5878 | |
|---|---|---|
| Name: | Sulcaine | |
| Description: | ||
| Labels: | ||
| CAS: | 41653-21-8 | |
| InChi Code: | InChI=1S/C16H22N2O3/c1-2-21-16(20)13-6-8-14(9-7-13)17-15(19)12-18-10-4-3-5-11-18/h6-9H,2-5,10-12H2,1H3,(H,17,19) |
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) |