title: Design and statistical properties of robust functional networks: a model study of biological signal transduction.
abstract: A simple flow network model of biological signal transduction is investigated. Networks with prescribed signal processing functions, robust against random node or link removals, are designed through an evolutionary optimization process. Statistical properties of large ensembles of such networks, including their characteristic motif distributions, are determined. Our analysis suggests that robustness against link removals plays the principal role in the architecture of real signal transduction networks and developmental genetic transcription networks.
authors.affiliation: Department of Physical Chemistry, Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, D-14195 Berlin, Germany.
authors.forename: Pablo
authors.initials: P
authors.lastname: Kaluza
authors.forename: Mads
authors.initials: M
authors.lastname: Ipsen
authors.forename: Martin
authors.initials: M
authors.lastname: Vingron
authors.forename: Alexander S
authors.initials: AS
authors.lastname: Mikhailov