title: Recent progress on the analysis of power-law features in complex cellular networks.
abstract: Complex interactions between different kinds of bio-molecules and essential nutrients are responsible for cellular functions. Rapid advances in theoretical modeling and experimental analyses have shown that drastically different biological and non-biological networks share a common architecture. That is, the probability that a selected node in the network has exactly k edges decays as a power-law. This finding has definitely opened an intense research and debate on the origin and implications of this ubiquitous pattern. In this review, we describe the recent progress on the emergence of power-law distributions in cellular networks. We first show the internal characteristics of the observed complex networks uncovered using graph theory. We then briefly review some works that have significantly contributed to the theoretical analysis of cellular networks and systems, from metabolic and protein networks to gene expression profiles. This prevalent topology observed in so many diverse biological systems suggests the existence of generic laws and organizing principles behind the cellular networks.
authors.affiliation: Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, 611-0011, Japan. nacher@fun.ac.jp
authors.forename: J C
authors.initials: JC
authors.lastname: Nacher
authors.forename: T
authors.initials: T
authors.lastname: Akutsu
mesh_terms: D000818:Animals; D002450:Cell Communication; D002468:Cell Physiological Phenomena; D015870:Gene Expression; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks; D006801:Humans; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D008962:Models, Theoretical; D016012:Poisson Distribution; D011506:Proteins / Q000737:chemistry; D015398:Signal Transduction; D049490:Systems Biology; D013997:Time Factors
chemical_list: D011506:Proteins