Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
Compound
| ID: | e4539 | |
|---|---|---|
| Name: | N-Acetyl-L-aspartyl-L-glutamic acid | |
| Description: | ||
| Labels: | ||
| CAS: | 4910-46-7 | |
| InChi Code: | InChI=1S/C11H16N2O8/c1-5(14)12-7(11(20)21)4-8(15)13-6(10(18)19)2-3-9(16)17/h6-7H,2-4H2,1H3,(H,12,14)(H,13,15)(H,16,17)(H,18,19)(H,20,21) |
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) |