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An Exact Brownian Dynamics Method for Cell Simulation

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Computational Methods in Systems Biology (CMSB 2008)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 5307))

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Abstract

As we obtain better abilities to observe cellular biochemistry at the single cell / molecular levels, such as through fluorescent correlation spectroscopy and single particle tracking, evidences are accumulating that the cells may be taking advantage of intracellular spatial features to realize and optimize their functions. Computer simulation is a useful means to bridge the gap between the microscopic, physico-chemical picture of how macro-molecules diffuse and react, and the scales of time and space where biochemistry and physiology take place.

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References

  1. Takahashi, K., Arjunan, S., Tomita, M.: Space in systems biology of signaling pathways – intracellular molecular crowding in silico. FEBS Letters 579, 8 (2005)

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Author information

Authors and Affiliations

  1. The Molecular Sciences Institute, Berkeley, USA Computational Systems Biology Research Group, RIKEN, Yokohama, Japan Institute for Advanced Biosciences, Keio University, Fujisawa, Japan

    Koichi Takahashi

Authors
  1. Koichi Takahashi
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Brandenburg University of Technology, Postbox 10 13 44, 03013, Cottbus, Germany

    Monika Heiner

  2. University of Rostock, Albert-Einstein-Str. 21, D-18059, Rostock, Germany

    Adelinde M. Uhrmacher

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© 2008 Springer-Verlag Berlin Heidelberg

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Takahashi, K. (2008). An Exact Brownian Dynamics Method for Cell Simulation. In: Heiner, M., Uhrmacher, A.M. (eds) Computational Methods in Systems Biology. CMSB 2008. Lecture Notes in Computer Science(), vol 5307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88562-7_3

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  • DOI: https://doi.org/10.1007/978-3-540-88562-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88561-0

  • Online ISBN: 978-3-540-88562-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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