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A community-driven global reconstruction of human metabolism.

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Authors
Thiele, Ines
Swainston, Neil
Fleming, Ronan M T
Hoppe, Andreas
Sahoo, Swagatika
Aurich, Maike K
Haraldsdottir, Hulda
Mo, Monica L
Rolfsson, Ottar
Stobbe, Miranda D
Thorleifsson, Stefan G
Agren, Rasmus
Bölling, Christian
Bordel, Sergio
Chavali, Arvind K
Dobson, Paul
Dunn, Warwick B
Endler, Lukas
Hala, David
Hucka, Michael
Hull, Duncan
Jameson, Daniel
Jamshidi, Neema
Jonsson, Jon J
Juty, Nick
Keating, Sarah
Nookaew, Intawat
Le Novère, Nicolas
Malys, Naglis
Mazein, Alexander
Papin, Jason A
Price, Nathan D
Selkov, Evgeni
Sigurdsson, Martin I
Simeonidis, Evangelos
Sonnenschein, Nikolaus
Smallbone, Kieran
Sorokin, Anatoly
van Beek, Johannes H G M
Weichart, Dieter
Goryanin, Igor
Nielsen, Jens
Westerhoff, Hans V
Kell, Douglas B
Mendes, Pedro
Palsson, Bernhard Ø
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Issue Date
2013-05

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Citation
Nat. Biotechnol. 2013, 31 (5):419-25
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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To access publisher's full text version of this article click on the hyperlink at the bottom of the page
Additional Links
http://dx.doi.org/10.1038/nbt.2488
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3856361/
http://www.nature.com/nbt/journal/v31/n5/pdf/nbt.2488.pdf
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ae974a485f413a2113503eed53cd6c53
10.1038/nbt.2488
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