Nature Communications (Jun 2020)

Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN

  • Maria Masid,
  • Meric Ataman,
  • Vassily Hatzimanikatis

DOI
https://doi.org/10.1038/s41467-020-16549-2
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 12

Abstract

Read online

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.