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A community-driven global reconstruction of human metabolism
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(2013) A community-driven global reconstruction of human metabolism. Nature Biotechnology, Volume 31 (Number 5). pp. 431-425. doi:10.1038/nbt.2488 ISSN 1087-0156.
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Official URL: http://dx.doi.org/10.1038/nbt.2488
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/.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||
Journal or Publication Title: | Nature Biotechnology | ||||
Publisher: | Nature Publishing Group | ||||
ISSN: | 1087-0156 | ||||
Official Date: | 2013 | ||||
Dates: |
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Volume: | Volume 31 | ||||
Number: | Number 5 | ||||
Page Range: | pp. 431-425 | ||||
DOI: | 10.1038/nbt.2488 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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