Journal Article

Pathway identification by network pruning in the metabolic network of <i>Escherichia coli</i>

P. Gerlee, L. Lizana and K. Sneppen

in Bioinformatics

Volume 25, issue 24, pages 3282-3288
Published in print December 2009 | ISSN: 1367-4803
Published online October 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp575
Pathway identification by network pruning in the metabolic network of Escherichia coli

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Motivation: All metabolic networks contain metabolites, such as ATP and NAD, known as currency metabolites, which take part in many reactions. These are often removed in the study of these networks, but no consensus exists on what actually constitutes a currency metabolite, and it is also unclear how these highly connected nodes contribute to the global structure of the network.

Results: In this article, we analyse how the Escherichia coli metabolic network responds to pruning in the form of sequential removal of metabolites with highest degree. As expected this leads to network fragmentation, but the process by which it occurs suggests modularity and long-range correlations within the network. We find that the pruned networks contain longer paths than the random expectation, and that the paths that survive the pruning also exhibit a lower cost (number of involved metabolites) compared with random paths in the full metabolic network. Finally we confirm that paths detected by pruning overlap with known metabolic pathways. We conclude that pruning reveals functional pathways in metabolic networks, where currency metabolites may be seen as ingredients in a well-balanced soup in which main metabolic production lines are immersed.

Contact: gerlee@nbi.dk

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  4684 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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