Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e4814 | |
|---|---|---|
| Name: | N2-(4-Nitrophenyl)-L-glutamine hydrochloride | |
| Description: | ||
| Labels: | ||
| CAS: | 67953-08-6 | |
| InChi Code: | InChI=1S/C11H13N3O5/c12-10(15)6-5-9(11(16)17)13-7-1-3-8(4-2-7)14(18)19/h1-4,9,13H,5-6H2,(H2,12,15)(H,16,17) |
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) |