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MODEL0072364382 - Herrgård2008_MetabolicNetwork_Yeast


The following model is part of the non-curated branch of BioModels Database. While the syntax of the model has been verified, its semantics remains unchecked. Any annotation present in the models is not a product of BioModels' annotators. We are doing our best to incorporate this model into the curated branch as soon as possible. In the meantime, we display only limited metadata here. For further information about the model, please download the SBML file.

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Reference Publication
Publication ID: 18846089
Herrgård MJ, Swainston N, Dobson P, Dunn WB, Arga KY, Arvas M, Blüthgen N, Borger S, Costenoble R, Heinemann M, Hucka M, Le Novère N, Li P, Liebermeister W, Mo ML, Oliveira AP, Petranovic D, Pettifer S, Simeonidis E, Smallbone K, Spasić I, Weichart D, Brent R, Broomhead DS, Westerhoff HV, Kirdar B, Penttilä M, Klipp E, Palsson BØ, Sauer U, Oliver SG, Mendes P, Nielsen J, Kell DB.
A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology.
Nat. Biotechnol. 2008 Oct; 26(10): 1155-1160
Department of Bioengineering, University of California, San Diego, La Jolla, California 92093-0412, USA.  [more]
Original Model: MODEL0072364382.origin
Submitter: Lukas Endler
Submission Date: 12 Aug 2009 11:19:28 UTC
Last Modification Date: 03 Feb 2012 13:12:17 UTC
Creation Date: 20 Feb 2008 10:05:10 UTC
Non kinetic model: network icon.
Encoders:  Markus Herrgard
   Neil Swainston
bqmodel:isDerivedFrom PubMed 16204195
PubMed 12566402
bqbiol:isVersionOf Gene Ontology regulation of growth
bqbiol:hasTaxon Taxonomy Saccharomyces cerevisiae

This is a reconstruction of the biochemical network of the yeast Saccharomyces cerevisiae carried out at a jamboree organized in April 2007 in the Manchester Centre for Integrative Systems Biology. It is the result of a consensus merger of two previous reconstructions.

Technical notes:

  • The compartments included here have no volume defined; there are no reliable estimates available for those volumes yet.
  • There are no kinetic functions defined for the reactions because this model only represents the chemical structure of the network (stoichiometry).
  • All reactions are marked reversible because all chemical reactions are reversible.

The model is described in the article and available as supplementary material:
A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology.
Herrgård MJ, Swainston N et al. , Nat Biotechnol. 2008 Oct;26(10):1155-60. PMID: 18846089 , doi: 10.1038/nbt1492
Genomic data allow the large-scale manual or semi-automated assembly of metabolic network reconstructions, which provide highly curated organism-specific knowledge bases. Although several genome-scale network reconstructions describe Saccharomyces cerevisiae metabolism, they differ in scope and content, and use different terminologies to describe the same chemical entities. This makes comparisons between them difficult and underscores the desirability of a consolidated metabolic network that collects and formalizes the 'community knowledge' of yeast metabolism. We describe how we have produced a consensus metabolic network reconstruction for S. cerevisiae. In drafting it, we placed special emphasis on referencing molecules to persistent databases or using database-independent forms, such as SMILES or InChI strings, as this permits their chemical structure to be represented unambiguously and in a manner that permits automated reasoning. The reconstruction is readily available via a publicly accessible database and in the Systems Biology Markup Language ( It can be maintained as a resource that serves as a common denominator for studying the systems biology of yeast. Similar strategies should benefit communities studying genome-scale metabolic networks of other organisms.

Up to date versions can be found under

This SBML representation of the yeast metabolic network is made available under the Creative Commons Attribution-Share Alike 3.0 Unported Licence (see ).

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.

In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.

To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.