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MODEL1109130000 - Thiele2013 - Human metabolism global reconstruction (Recon 2)


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Reference Publication
Publication ID: 23455439
Thiele I, Swainston N, Fleming RM, Hoppe A, Sahoo S, Aurich MK, Haraldsdottir H, Mo ML, Rolfsson O, Stobbe MD, Thorleifsson SG, Agren R, Bölling C, Bordel S, Chavali AK, Dobson P, Dunn WB, Endler L, Hala D, Hucka M, Hull D, Jameson D, Jamshidi N, Jonsson JJ, Juty N, Keating S, Nookaew I, Le Novère N, Malys N, Mazein A, Papin JA, Price ND, Selkov E Sr, Sigurdsson MI, Simeonidis E, Sonnenschein N, Smallbone K, Sorokin A, van Beek JH, Weichart D, Goryanin I, Nielsen J, Westerhoff HV, Kell DB, Mendes P, Palsson BØ.
A community-driven global reconstruction of human metabolism.
Nat. Biotechnol. 2013 May; 31(5): 419-425
Center for Systems Biology, University of Iceland, Reykjavik, Iceland.  [more]
Original Model: MODEL1109130000.origin
Submitter: Nicolas Le Novère
Submission Date: 13 Sep 2011 11:31:16 UTC
Last Modification Date: 29 Aug 2013 10:51:33 UTC
Creation Date: 22 Feb 2013 00:00:00 UTC
Non kinetic model: network icon.
bqmodel:isDerivedFrom PubMed 23492669
PubMed 22699794
PubMed 20823849
PubMed 20649990
PubMed 17267599
bqbiol:isVersionOf Gene Ontology cellular metabolic process
bqbiol:hasTaxon Taxonomy Homo sapiens
Thiele2013 - Human metabolism global reconstruction (Recon 2)

Community-driven global reconstruction of human metabolism (version 2.02).

This model is described in the article:

Thiele I, et al.
Nature Biotechnology


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 ~2x more reactions and ~1.7x 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

To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.