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PMID: 22142339 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Review

Using the reconstructed genome-scale human metabolic network to study physiology and pathology.

Journal of internal medicine ·Vol. 271 ·No. 2 ·2012-02-00 ·Pages 131-41

Bordbar A, Palsson BO

Abstract

Metabolism plays a key role in many major human diseases. Generation of high-throughput omics data has ushered in a new era of systems biology. Genome-scale metabolic network reconstructions provide a platform to interpret omics data in a biochemically meaningful manner. The release of the global human metabolic network, Recon 1, in 2007 has enabled new systems biology approaches to study human physiology, pathology and pharmacology. There are currently more than 20 publications that utilize Recon 1, including studies of cancer, diabetes, host-pathogen interactions, heritable metabolic disorders and off-target drug binding effects. In this mini-review, we focus on the reconstruction of the global human metabolic network and four classes of its application. We show that computational simulations for numerous pathologies have yielded clinically relevant results, many corroborated by existing or newly generated experimental data.

MeSH Terms
Chromosome Mapping/methods Computer Simulation Genome, Human/genetics Humans Metabolic Diseases/genetics Metabolism/genetics Metabolomics/methods Models, Biological Phenotype Systems Biology/methods
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Bordbar A
Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Palsson B O
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Article Info
Journal
Journal of internal medicine
Abbr.
J Intern Med
ISSN
1365-2796
Published
2012-02-00
Pages
131-41
Language
English
Region
England
NLM ID
8904841
PMCID
PMC3243107
Subset
IM
Grants
NIGMS NIH HHS · R01 GM068837 · United States
NIGMS NIH HHS · R01 GM068837-08 · United States
NIGMS NIH HHS · GM068837 · United States
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