A New Tool for the Alignment of Metabolic Pathways Ron Y. Pinter, Oleg Rokhlenko, Esti Yeger-Lotem, Michal Ziv-Ukelson Dept. of Computer Science, Technion - Israel Institute of Technology, Haifa 32000, Israel {fpinter, olegro, estiy, michalzg} @cs.technion.ac.il Abstract Several genome-scale efforts are underway to reconstruct metabolic networks for a variety of organisms. As the resulting data accumulates, the need for analysis tools increases. A notable requirement is a pathway alignment finder that enables both the detection of conserved metabolic pathways among different species as well as divergent metabolic pathways within a specie. When comparing two pathways, the tool should be powerful enough to take into account both the pathway topology as well as the nodes’ labels (e.g. the enzymes they denote), and allow flexibility by matching similar — rather than identical — pathways. MetaPathwayHunter is a pathway alignment tool that, given a query pathway and a collection of pathways, finds and reports all approximate occurrences of the query in the collection, ranked by similarity and statistical significance. It is based on novel, efficient graph matching algorithms that extend the functionality of known techniques. The program also supports a visualization interface with which the alignment of two homologous pathways can be graphically displayed. We employed this tool to study the similarities and differences in the metabolic networks of several organisms (as represented in highly curated databases that are available on the World Wide Web). We reaffirmed that most known metabolic pathways common to bacteria and yeast are conserved; furthermore, we present a few cases in which the comparison of metabolic pathways between species exemplifies divergent and putative convergent evolution, and within a specie — exemplifies divergent evolution. We conclude with a description of several biologically meaningful meta-queries, demonstrating the power and flexibility of our new tool in the analysis of metabolic pathways.