Authors
Markus J Herrgård, Neil Swainston, Paul Dobson, Warwick B Dunn, K Yalçin Arga, Mikko Arvas, Nils Blüthgen, Simon Borger, Roeland Costenoble, Matthias Heinemann, Michael Hucka, Nicolas Le Novere, Peter Li, Wolfram Liebermeister, Monica L Mo, Ana Paula Oliveira, Dina Petranovic, Stephen Pettifer, Evangelos Simeonidis, Kieran Smallbone, Irena Spasie, Dieter Weichart, Roger Brent, David S Broomhead, Hans V Westerhoff, Betül Kürdar, Merja Penttilä, Edda Klipp, Bernhard Ø Palsson, Uwe Sauer, Stephen G Oliver, Pedro Mendes, Jens Nielsen, Douglas B Kell
Publication date
2008/10
Source
Nature biotechnology
Volume
26
Issue
10
Pages
1155-1160
Publisher
Nature Publishing Group US
Description
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 …
Total citations
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