Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | t924 | |
|---|---|---|
| Name: | 1-[3-(Triethoxysilyl)propyl]urea | |
| Description: | ||
| Labels: | ||
| CAS: | 23779-32-0 | |
| InChi Code: | InChI=1S/C10H24N2O4Si/c1-4-14-17(15-5-2,16-6-3)9-7-8-12-10(11)13/h4-9H2,1-3H3,(H3,11,12,13) |
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 |
| inactive |
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) |