Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e4877 | |
|---|---|---|
| Name: | Cellulose acetate phthalate | |
| Description: | ||
| Labels: | ||
| CAS: | 9004-38-0 | |
| InChi Code: | InChI=1S/C32H34O19/c1-13(33)45-11-19-21(35)25(49-29(42)17-9-5-3-7-15(17)27(38)39)23(37)32(48-19)51-24-20(12-46-14(2)34)47-31(44)26(22(24)36)50-30(43)18-10-6-4-8-16(18)28(40)41/h3-10,19-26,31-32,35-37,44H,11-12H2,1-2H3,(H,38,39)(H,40,41) |
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) |