Nature Communications (Jun 2020)
Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN
Abstract
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.