Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e1383 | |
|---|---|---|
| Name: | Propamidine | |
| Description: | ||
| Labels: | ||
| CAS: | 104-32-5 | |
| InChi Code: | InChI=1S/C17H20N4O2/c18-16(19)12-2-6-14(7-3-12)22-10-1-11-23-15-8-4-13(5-9-15)17(20)21/h2-9H,1,10-11H2,(H3,18,19)(H3,20,21) |
Properties
er_ago: Activity in ER agonist pathway
| Value | Source or prediction |
|---|---|
| inactive |
experimental value |
| agonist |
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 |
| antagonist |
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 |
| binder |
Tab3.binders: Model for binding in ER (Evaluation set) |