Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN
The complexity of genome-scale metabolic networks (GEMs) hinders their application in specific physiological contexts. Here, the authors introduce a framework to reduce thermodynamically curated GEMs to the subnetworks of interest and demonstrate its application by deriving leukemia-specific models.
| Autores principales: | , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
Nature Portfolio
2020-06-01
|
| Colección: | Nature Communications |
| Acceso en línea: | https://doi.org/10.1038/s41467-020-16549-2 |