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Mechanistic and modular approaches to modeling and inference of cellular regulatory networks

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Systems Biology

Part of the book series: Topics in Current Genetics ((TCG,volume 13))

Abstract

In this chapter we wish to present a vision of systems biology as a discipline that generates new insight and knowledge with quantitative and predictive explanatory power at the system level. We will review work that combines quantitative measurements and mathematical and computational modeling of signaling networks to link molecular mechanisms to physiological responses. An emerging synergistic modeling approach is presented that uses novel approaches to network inference, molecular dynamic simulations, chemical kinetics and reaction-diffusion equations, and functional modularization in biochemical networks.

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Authors and Affiliations

  1. Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, 1020 Locust St., Philadelphia, PA 19107, USA

    Boris N. Kholodenko

  2. Molecular Cell Physiology & Integrative Bioinformatics, Biocentrum & Faculty of Earth and Life Sciences, De Boelelaan 1085, 1081 HV, Vrije Universiteit, Amsterdam, The Netherlands

    Frank J. Bruggeman

  3. Keck Graduate Institute, 535 Watson Drive, Claremont, CA 91106, USA, and Control and Dynamical Systems, California Institute of Technology, Pasadena, CA 91125, USA

    Herbert M. Sauro

Authors
  1. Boris N. Kholodenko
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  2. Frank J. Bruggeman
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  3. Herbert M. Sauro
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Corresponding author

Correspondence to Boris N. Kholodenko .

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Lila Alberghina H.V. Westerhoff

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Kholodenko, B.N., Bruggeman, F.J., Sauro, H.M. Mechanistic and modular approaches to modeling and inference of cellular regulatory networks. In: Alberghina, L., Westerhoff, H. (eds) Systems Biology. Topics in Current Genetics, vol 13. Springer, Berlin, Heidelberg. https://doi.org/10.1007/b136809

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