ArticleScience advances2022
The hidden simplicity of metabolic networks is revealed by multireaction dependencies.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- COCOA.jl-a Julia package for high-performance analysis of concordance and kinetic modules in biochemical networks.Bioinformatics (Oxford, England) · 2026Article
- MetaNet: a scalable and integrated tool for reproducible omics network analysis.Bioinformatics (Oxford, England) · 2026Article
- The Role of Chemistry Across Disciplines From Humanities to Life Sciences in Understanding Complexity and Emergence.Angewandte Chemie (International ed. in English) · 2026Review
- The return of metabolism: biochemistry and physiology of glycolysis.Biological reviews of the Cambridge Philosophical Society · 2026Review
- A constraint-based framework for exploring the impact of multireaction dependencies on metabolic functions.NPJ systems biology and applications · 2025Article
- Sucrose-driven carbon redox rebalancing eliminates the Crabtree effect and boosts energy metabolism in yeast.Nature communications · 2025Article
- Kinetic modules are sources of concentration robustness in biochemical networks.Science advances · 2025Article
- Flux-sum coupling analysis of metabolic network models.PLoS computational biology · 2025Article
- Maximizing multi-reaction dependencies provides more accurate and precise predictions of intracellular fluxes than the principle of parsimony.PLoS computational biology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the complexity of metabolic networks has implications for manipulation of their functions. The complexity of metabolic networks can be characterized by identifying multireaction dependencies that are challenging to determine due to the sheer number of combinations to consider. Here, we propose the concept of concordant complexes that captures multireaction dependencies and can be efficiently determined from the algebraic structure and operational constraints of metabolic networks. The concordant complexes imply the existence of concordance modules based on which the apparent complexity of 12 metabolic networks of organisms from all kingdoms of life can be reduced by at least 78%. A comparative analysis against an ensemble of randomized metabolic networks shows that the metabolic network of
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Registered trials
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