title: Model of interactions in biology and application to heterogeneous network in yeast.
abstract: A major challenge for bioinformatics and theoretical biology is to build and analyse a unified model of biological knowledge resulting from high-throughput experiment data. Former work analyzed heterogeneous data (protein-protein interactions, genetic regulation, metabolism, synexpression) by modelling them by graphs. These models are unable to represent the qualitative dynamics of the reactions or to model the n-ary interactions. Here, MIB, the Model of Interactions in Biology, a bipartite model of biological networks, is introduced, and its use for topological analysis of the heterogeneous network is presented. Heterogeneous loops and links between synexpression pattern and underlying molecular mechanisms are proposed.
authors.affiliation: Genoscope and CNRS UMR 8030, 91057 Evry cedex, France. sergi@sergi5.com
authors.forename: Serge
authors.initials: S
authors.lastname: Smidtas
authors.forename: Anastasia
authors.initials: A
authors.lastname: Yartseva
authors.forename: Vincent
authors.initials: V
authors.lastname: Schächter
authors.forename: François
authors.initials: F
authors.lastname: Képès
mesh_terms: D001695:Biology / Q000639:trends*; D005246:Feedback; D008954:Models, Biological; D008962:Models, Theoretical; D012441:Saccharomyces cerevisiae / Q000502:physiology*