title: Modeling cellular machinery through biological network comparison.
abstract: Molecular networks represent the backbone of molecular activity within the cell. Recent studies have taken a comparative approach toward interpreting these networks, contrasting networks of different species and molecular types, and under varying conditions. In this review, we survey the field of comparative biological network analysis and describe its applications to elucidate cellular machinery and to predict protein function and interaction. We highlight the open problems in the field as well as propose some initial mathematical formulations for addressing them. Many of the methodological and conceptual advances that were important for sequence comparison will likely also be important at the network level, including improved search algorithms, techniques for multiple alignment, evolutionary models for similarity scoring and better integration with public databases.
authors.affiliation: School of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel. roded@post.tau.ac.il
authors.forename: Roded
authors.initials: R
authors.lastname: Sharan
authors.forename: Trey
authors.initials: T
authors.lastname: Ideker
mesh_terms: D000465:Algorithms; D000818:Animals; D002468:Cell Physiological Phenomena; D006801:Humans; D008954:Models, Biological; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D020543:Proteome