Metabolic Pathway Alignment (M-Pal) reveals diversity and alternatives in conserved networks

Yunlei Li, Dick de Ridder, Marco J.L. de Groot, Marcel J.T. Reinders*

*Corresponding author for this work

Research output: Chapter/Conference proceedingChapterAcademic

4 Citations (Scopus)

Abstract

We introduce a comparative analysis of metabolic reaction networks between different species. Our method systematically investigates full metabolic networks of multiple species at the same time, with the goal of identifying highly similar yet non-identical pathways which execute the same metabolic function, i.e. the transformation of a specific substrate into a certain end product via similar reactions. We present a clear framework for matching metabolic pathways, and propose a scoring scheme which combines enzyme functional similarity with protein sequence similarity. This analysis helps to gain insight in the biological differences between species and provides comprehensive information on diversity in pathways between species and alternative pathways within species, which is useful for pharmaceutical and industrial bioengineering targets. The results also generate hypotheses for improving current metabolic networks or constructing such networks for currently unannotated species.
Original languageEnglish
Title of host publicationProceedings of the 6th Asia-Pacific Bioinformatics Conference
Pages273-285
ISBN (Electronic)978-1-84816-109-2
DOIs
Publication statusPublished - Dec 2007
Externally publishedYes

Publication series

SeriesSeries on Advances in Bioinformatics and Computational Biology

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