An atlas of human metabolism

Genome-scale metabolic models (GEMs) are valuable tools to study metabolism and provide a scaffold for the integrative analysis of omics data. Researchers have developed increasingly comprehensive human GEMs, but the disconnect among different model sources and versions impedes further progress. We therefore integrated and extensively curated the most recent human metabolic models to construct a consensus GEM, Human1. We demonstrated the versatility of Human1 through the generation and analysis of cell- and tissue-specific models using transcriptomic, proteomic, and kinetic data. We also present an accompanying web portal, Metabolic Atlas (https://www.metabolicatlas.org/), which facilitates further exploration…

• KO
  Knut och Alice Wallenbergs Stiftelse
• NN
  Novo Nordisk Fonden

  Award: NNF10CC1016517
• NI
  National Institutes of Health

  Award: F32CA220848
• H2
  Horizon 2020

  Award: 720824