Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e2195 | |
|---|---|---|
| Name: | Amprolium hydrochloride | |
| Description: | ||
| Labels: | ||
| CAS: | 137-88-2 | |
| InChi Code: | InChI=1S/C14H19N4/c1-3-6-13-16-9-12(14(15)17-13)10-18-8-5-4-7-11(18)2/h4-5,7-9H,3,6,10H2,1-2H3,(H2,15,16,17)/q+1 |
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 |
| inactive |
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) |