Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e5424 | |
|---|---|---|
| Name: | Spiramycin II | |
| Description: | ||
| Labels: | ||
| CAS: | 24916-51-6 | |
| InChi Code: | InChI=1S/C45H76N2O15/c1-25-22-31(20-21-48)41(62-44-39(51)38(47(10)11)40(28(4)58-44)61-37-24-45(7,53)43(52)29(5)57-37)42(54-12)34(59-30(6)49)23-35(50)55-26(2)16-14-13-15-17-33(25)60-36-19-18-32(46(8)9)27(3)56-36/h13-15,17,21,25-29,31-34,36-44,51-53H,16,18-20,22-24H2,1-12H3/b14-13+,17-15+ |
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) |