Reference : A community-driven global reconstruction of human metabolism.
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/422
A community-driven global reconstruction of human metabolism.
English
Thiele, Ines* mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Swainston, N.* [> >]
Fleming, Ronan MT mailto [> >]
Hoppe, A. [> >]
Sahoo, Swagatika mailto []
Aurich, Maike Kathrin mailto []
Haraldsdottir, Hulda mailto [> >]
Mo, M. L. [> >]
Rolfsson, O. [> >]
Stobbe, M. D. [> >]
Thorleifsson, S. G. [> >]
Agren, R. [> >]
Bölling, C. [> >]
Bordel, S. [> >]
Chavali, A. K. [> >]
Dobson, P. [> >]
Dunn, W. B. [> >]
Endler, L. [> >]
Hala, D. [> >]
Hucka, M. [> >]
Hull, D. [> >]
Jameson, D. [> >]
Jamshidi, N. [> >]
Jonsson, J. J. [> >]
Juty, N. [> >]
Keating, S. [> >]
Nookaew, I. [> >]
Le Novère, N. [> >]
Malys, N. [> >]
Mazein, A. [> >]
Papin, J. A. [> >]
Price, N. D. [> >]
Selkov, E. Sr [> >]
Sigurdsson, M. I. [> >]
Simeonidis, Evangelos mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > > ; Institute for Systems Biology - ISB]
Sonnenschein, N. [> >]
Smallbone, K. [> >]
Sorokin, A. [> >]
van Beek, J. H. [> >]
Weichart, D. [> >]
Goryanin, I. [> >]
Nielsen, J. [> >]
Westerhoff, H. V. [> >]
Kell, D. B. [> >]
Mendes, P. [> >]
Palsson, B. O. [> >]
* These authors have contributed equally to this work.
2013
Nature Biotechnology
Nature
31
419-425
Yes (verified by ORBilu)
International
1087-0156
1546-1696
[en] 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/.
Luxembourg Centre for Systems Biomedicine (LCSB): Experimental Neurobiology (Balling Group) ; Luxembourg Centre for Systems Biomedicine (LCSB): Molecular Systems Physiology (Thiele Group)
http://hdl.handle.net/10993/422
10.1038/nbt.2488
http://humanmetabolism.org/
2013 Mar 3 [Epub ahead of print]

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