title: Motif search in graphs: application to metabolic networks.
abstract: The classic view of metabolism as a collection of metabolic pathways is being questioned with the currently available possibility of studying whole networks. Novel ways of decomposing the network into modules and motifs that could be considered as the building blocks of a network are being suggested. In this work, we introduce a new definition of motif in the context of metabolic networks. Unlike in previous works on (other) biochemical networks, this definition is not based only on topological features. We propose instead to use an alternative definition based on the functional nature of the components that form the motif, which we call a reaction motif. After introducing a formal framework motivated by biological considerations, we present complexity results on the problem of searching for all occurrences of a reaction motif in a network and introduce an algorithm that is fast in practice in most situations. We then show an initial application to the study of pathway evolution. Finally, we give some general features of the observed number of occurrences in order to highlight some structural features of metabolic networks.
authors.affiliation: Equipe BAOBAB, Laboratoire de Biométrie et Biologie Evolutive, CNRS, Univ. Lyon, Villeurbanne, France. lacroix@biomserv.univ-lyon1.fr
authors.forename: Vincent
authors.initials: V
authors.lastname: Lacroix
authors.forename: Cristina G
authors.initials: CG
authors.lastname: Fernandes
authors.forename: Marie-France
authors.initials: MF
authors.lastname: Sagot
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods*; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D020543:Proteome