Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e6970 | |
|---|---|---|
| Name: | Cefoselis sulfate | |
| Description: | ||
| Labels: | ||
| CAS: | 122841-12-7 | |
| InChi Code: | InChI=1S/C19H22N8O6S2/c1-33-24-12(10-8-35-19(21)22-10)15(29)23-13-16(30)27-14(18(31)32)9(7-34-17(13)27)6-25-3-2-11(20)26(25)4-5-28/h2-3,8,13,17,20,28H,4-7H2,1H3,(H4,21,22,23,29,31,32)/p+1/b24-12- |
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) |