Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index
NMR chemical shift information is highly valuable in the investigation of small molecule and protein structure. Here, the authors developed a neural network approach to unify protein chemical shifts and their changes in response to changes in protein sequence, structure, and dimerization interaction...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2019
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/61e9c1f7f5bf4e32be70987487f4bd26 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | NMR chemical shift information is highly valuable in the investigation of small molecule and protein structure. Here, the authors developed a neural network approach to unify protein chemical shifts and their changes in response to changes in protein sequence, structure, and dimerization interactions. |
|---|