ArticleNature biotechnology2013
A community-driven global reconstruction of human metabolism.
Article in Nature biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 542 papers, 2 of them syntheses that pooled it.
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Who cites it
542 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Single-cell meta-analysis of T cells reveals clonal dynamics of response to checkpoint immunotherapy.Cell genomics · 2025Pooled it
- Graph databases in systems biology: a systematic review.Briefings in bioinformatics · 2024Pooled it
- Trial
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- An atlas of primate insular cortex reveals a signal-processing strategy in von Economo neurons.Nature cell biology · 2026Article
- EHMN2026Metabolites · 2026Article
- A data-driven framework reconstructs the molecular continuum of human MASLD progression.Nature metabolism · 2026Article
- Elucidating the Bell-Shaped Dependence of Protein Translation Activity on EF-Tu Concentration in a Reconstituted Cell-Free System Using a Mechanistic Model.ACS synthetic biology · 2026Article
- Distinct Malignant Cell States and Myeloid Glutamate Signaling Associated with Aggressive Pancreatic Neuroendocrine Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast Cancer.International journal of molecular sciences · 2026Article
- EHMN 2026: A Thermodynamically Refined, SBML-Standardised Human Metabolic Network for Genome-Scale Analysis and QSP Integration.Metabolites · 2026Article
- Aryl hydrocarbon receptor in the kidney regulates metabolic cross-talk with the liver and gut microbiome.Scientific reports · 2026Article
- Multi-omic profiling defines three distinct molecular subtypes of urothelial carcinoma with implications for precision therapy.Clinical and translational medicine · 2026Article
- Dynamic metabolic modelling of ATP allocation during viral infection.Journal of the Royal Society, Interface · 2026Article
- Functional border-associated macrophages limit Alzheimer's Disease progression.bioRxiv : the preprint server for biology · 2026Article
- Metabolic adaptations rewire CD4Nature immunology · 2026Article
- Hallmarks of disease: how tuned hierarchies of intelligent molecular neural networks (MNNs) may matter.Endocrine-related cancer · 2026Review
- Metabolite coupling analysis and metabolite-flux coupling analysis of genome-scale metabolic models.Frontiers in bioinformatics · 2026Article
- The Role of Metabolites in Cell-Cell Communication: A Review of Databases and Computational Tools.Cells · 2025Review
- Stimulated Raman Scattering Imaging Enabled Biomarker Discovery for Precision Medicine.Chemical & biomedical imaging · 2025Review
482 more citing papers are in PubMed but not listed here.
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Authors and funding
46 authors.
Funding
Abstract
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven, consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared with its predecessors, the reconstruction has improved topological and functional features, including ∼2× more reactions and ∼1.7× more unique metabolites. Using Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.