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Dynamics of Biomolecular Networks

  1. Emanuele Cozzo1,
  2. Joaqun Sanz1,
  3. Yamir Moreno1,2

Published Online: 15 MAR 2012

DOI: 10.1002/3527600906.mcb.201100017

Encyclopedia of Molecular Cell Biology and Molecular Medicine

Encyclopedia of Molecular Cell Biology and Molecular Medicine

How to Cite

Cozzo, E., Sanz, J. and Moreno, Y. 2012. Dynamics of Biomolecular Networks. Encyclopedia of Molecular Cell Biology and Molecular Medicine. .

Author Information

  1. 1

    University of Zaragoza, Institute for Biocomputation and Physics of Complex Systems (BIFI), Zaragoza, Spain

  2. 2

    University of Zaragoza, Department of Theoretical Physics, Faculty of Sciences, Zaragoza, Spain

Publication History

  1. Published Online: 15 MAR 2012


During the past few years, whilst the capacity to produce large amounts of experimental data has increased dramatically, the ability to analyze these data has not progressed at the same pace. Thus, there is a risk that this sea of acquired data will become overwhelming, and that no meaningful theoretical or phenomenological insights will be extracted from it. One way to overcome such a problem would be to study the interactions among a system's constituents as a network, involving both the structure and dynamics of that system. In this chapter, the main approaches used to model the dynamical behavior of biomolecular, regulatory gene networks are revised, whereby two different approaches are discussed and analyzed: (i) the discrete case, as represented by Boolean functions; and (ii) the continuous case, which is based on differential equations. For both scenarios, the most recent results are outlined, and details provided of the many variants that can be adopted. Finally, the future lines of research in this field are proposed.


  • Boolean network;
  • Biologically relevant Boolean functions;
  • Network inference;
  • Probabilistic Boolean network (PBN);
  • Rate equation;
  • AND/OR logical functions;
  • Network motif