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.
| Prif Awduron: | , , |
|---|---|
| Fformat: | Erthygl |
| Iaith: | English |
| Cyhoeddwyd: |
Nature Portfolio
2020-06-01
|
| Cyfres: | Nature Communications |
| Mynediad Ar-lein: | https://doi.org/10.1038/s41467-020-16549-2 |