Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | t282 | |
|---|---|---|
| Name: | UK-076654 | |
| Description: | ||
| Labels: | ||
| CAS: | 127308-82-1 | |
| InChi Code: | InChI=1S/C27H29NO3/c1-3-8-22(9-4-1)27(23-10-5-2-6-11-23)31-24-12-7-16-28(19-24)17-15-21-13-14-25-26(18-21)30-20-29-25/h1-6,8-11,13-14,18,24,27H,7,12,15-17,19-20H2 |
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 (Training set) |
| inactive |
Tab3.agonists: Model for ER activity on agonists pathway (Out of bag) |
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) |