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Bioinformatics Advance Access published online on May 31, 2007
Bioinformatics, doi:10.1093/bioinformatics/btm279
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© The Author (2007). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Simple and Fast Alignment of Metabolic Pathways by Exploiting Local Diversity

Sebastian Wernicke and Florian Rasche *

Institut für Informatik, Friedrich-Schiller-Universität Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany

*To whom correspondence should be addressed. Florian Rasche, E-mail: florian.rasche{at}uni-jena.de


  Abstract

Motivation: An important tool for analyzing biological networks is the ability to perform homology searches, that is, given a pattern network one would like to be able to search for occurrences of similar (sub)networks within a set of host networks. In the context of metabolic pathways, Pinter et al. [Bioinformatics, 2005] proposed to solve this computationally hard problem by restricting it to the case where both the pattern and host networks are trees. This restriction, however, severely limits the applicability of their algorithm.

Results: We propose a very fast and simple algorithm for the alignment of metabolic pathways that does not restrict the topology of the host or pattern network in any way; instead, our algorithm exploits a natural property of metabolic networks that we call "local diversity property". Experiments on a testbed of metabolic pathways from the BIOCYC database indicate that our algorithm is much faster than the restricted algorithm of Pinter et al.—the metabolic pathways of two organisms can be aligned in mere seconds—and yet has a wider range of applicability and yields new biological insights. Our ideas can likely be extended to work for the alignment of various types of biological networks other than metabolic pathways.

Availability: Our algorithm has been implemented in C++ as a userfriendly metabolic pathway alignment tool called METAPAT. The tool runs under Linux or Windows and can be downloaded at http://theinf1.informatik.uni-jena.de/metapat/.

Associate Editor: Dr. Jonathan Wren

Received on February 17, 2007; revised on April 28, 2007; accepted on May 17, 2007

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