Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5843 | |
|---|---|---|
| Name: | SDZ 21009 | |
| Description: | ||
| Labels: | ||
| CAS: | 39731-05-0 | |
| InChi Code: | InChI=1S/C19H28N2O4/c1-12(2)25-18(23)16-9-14-15(21-16)7-6-8-17(14)24-11-13(22)10-20-19(3,4)5/h6-9,12-13,20-22H,10-11H2,1-5H3 |
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) |