Cargando…
Exploratory machine-learned theoretical chemical shifts can closely predict metabolic mixture signals
Various chemical shift predictive methodologies have been studied and developed, but there remains the problem of prediction accuracy. Assigning the NMR signals of metabolic mixtures requires high predictive performance owing to the complexity of the signals. Here we propose a new predictive tool th...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Royal Society of Chemistry
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6240814/ https://www.ncbi.nlm.nih.gov/pubmed/30542569 http://dx.doi.org/10.1039/c8sc03628d |