Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | t995 | |
|---|---|---|
| Name: | Chrysophenine | |
| Description: | ||
| Labels: | ||
| CAS: | 2870-32-8 | |
| InChi Code: | InChI=1S/C30H28N4O8S2/c1-3-41-27-15-11-23(12-16-27)31-33-25-9-7-21(29(19-25)43(35,36)37)5-6-22-8-10-26(20-30(22)44(38,39)40)34-32-24-13-17-28(18-14-24)42-4-2/h5-20H,3-4H2,1-2H3,(H,35,36,37)(H,38,39,40)/b6-5+,33-31?,34-32? |
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 (Test 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 (Test set) |
er_bin: Binding activity in estrogen receptor
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| inactive |
Tab3.binders: Model for binding in ER (Test set) |