title: Reliability of regulatory networks and its evolution.
abstract: The problem of reliability of the dynamics in biological regulatory networks is studied in the framework of a generalized Boolean network model with continuous timing and noise. Using well-known artificial genetic networks such as the repressilator, we discuss concepts of reliability of rhythmic attractors. In a simple evolution process we investigate how overall network structure affects the reliability of the dynamics. In the course of the evolution, networks are selected for reliable dynamics. We find that most networks can be easily evolved towards reliable functioning while preserving the original function.
authors.affiliation: Institute for Theoretical Physics, University of Bremen, D-28359 Bremen, Germany.
authors.forename: Stefan
authors.initials: S
authors.lastname: Braunewell
authors.forename: Stefan
authors.initials: S
authors.lastname: Bornholdt
mesh_terms: D000818:Animals; D003198:Computer Simulation; D019143:Evolution, Molecular; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D006801:Humans; D008957:Models, Genetic; D009154:Mutation; D009415:Nerve Net