Random Boolean network models and the yeast transcriptional network

Stuart Kauffman, Carsten Peterson, Björn Samuelsson, Carl Troein

    Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

    Sammanfattning

    The recently measured yeast transcriptional network is analyzed in terms of simplified Boolean network models, with the aim of determining feasible rule structures, given the requirement of stable solutions of the generated Boolean networks. We find that, for ensembles of generated models, those with canalyzing Boolean rules are remarkably stable, whereas those with random Boolean rules are only marginally stable. Furthermore, substantial parts of the generated networks are frozen, in the sense that they reach the same state, regardless of initial state. Thus, our ensemble approach suggests that the yeast network shows highly ordered dynamics.
    Originalspråkengelska
    Sidor (från-till)14796-14799
    TidskriftProceedings of the National Academy of Sciences
    Volym100
    Nummer25
    DOI
    StatusPublished - 2003

    Ämnesklassifikation (UKÄ)

    • Zoologi
    • Biofysik

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