Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | t240 | |
|---|---|---|
| Name: | Mifepristone | |
| Description: | ||
| Labels: | ||
| CAS: | 84371-65-3 | |
| InChi Code: | InChI=1S/C29H35NO2/c1-5-15-29(32)16-14-26-24-12-8-20-17-22(31)11-13-23(20)27(24)25(18-28(26,29)2)19-6-9-21(10-7-19)30(3)4/h6-7,9-10,17,24-26,32H,8,11-14,16,18H2,1-4H3 |
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 |
|---|---|
| antagonist |
experimental value |
| antagonist |
Tab3.antagonists: Model for ER activity on antagonists pathway (Training set) |
| antagonist |
Tab3.antagonists: Model for ER activity on antagonists pathway (Out of bag) |
er_bin: Binding activity in estrogen receptor
| Value | Source or prediction |
|---|---|
| binder |
experimental value |
| binder |
Tab3.binders: Model for binding in ER (Training set) |
| binder |
Tab3.binders: Model for binding in ER (Out of bag) |