Preprint article · Journal article
A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology
University of Manchester1
Department of Systems Biology, Technical University of Denmark2
The Molecular Sciences Institute3
Bogazici University4
VTT Technical Research Centre of Finland Ltd.5
Max Planck Institute6
Swiss Federal Institute of Technology Zurich7
California Institute of Technology8
Genome Research Limited9
University of California at San Diego10
Center for Microbial Biotechnology, Department of Systems Biology, Technical University of Denmark11
...and 1 moreGenomic 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 (http://www.comp-sys-bio.org/yeastnet). 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.
Language: | English |
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Publisher: | Nature Publishing Group US |
Year: | 2008 |
Pages: | 1155-1160 |
Journal subtitle: | Science and Business of Biotechnology |
ISSN: | 10870156 and 15461696 |
Types: | Preprint article and Journal article |
DOI: | 10.1038/nbt1492 |
ORCIDs: | Herrgard, Markus |