Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e7214 | |
|---|---|---|
| Name: | Bimosiamose | |
| Description: | ||
| Labels: | ||
| CAS: | 187269-40-5 | |
| InChi Code: | InChI=1S/C46H54O16/c47-23-35-39(53)41(55)43(57)45(61-35)59-33-15-13-25(19-31(33)29-11-5-9-27(17-29)21-37(49)50)7-3-1-2-4-8-26-14-16-34(60-46-44(58)42(56)40(54)36(24-48)62-46)32(20-26)30-12-6-10-28(18-30)22-38(51)52/h5-6,9-20,35-36,39-48,53-58H,1-4,7-8,21-24H2,(H,49,50)(H,51,52) |
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) |