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Modeling reaction-diffusion of molecules on surface and in volume spaces with the E-Cell System
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Modeling reaction-diffusion of molecules on surface and in volume spaces with the E-Cell System

  • Satya Arjunan1 &
  • Masaru Tomita2 

Nature Precedings (2009)Cite this article

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  • 10 Citations

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Abstract

The-Cell System is an advanced open-source simulation platform to model and analyze biochemical reaction networks. The present algorithm modules of the system assume that the reacting molecules are all homogeneously distributed in the reaction compartments, which is not the case in some cellular processes. The MinCDE system in Escherichia coli, for example, relies on intricately controlled reaction, diffusion and localization of Min proteins on the membrane and in the cytoplasm compartments to inhibit cell division at the poles of the rod-shaped cell. To model such processes, we have extended the E-Cell System to support reaction-diffusion and dynamic localization of molecules in volume and surface compartments. We evaluated our method by modeling the in vivo dynamics of MinD and MinE and comparing their simulated localization patterns to the observations in experiments and previous computational work. In both cases, our simulation results are in good agreement.

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Authors and Affiliations

  1. Systems Biology Program, Graduate School of Media and Governance, Keio University, Japan https://www.nature.com/nature

    Satya Arjunan

  2. Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan

    Masaru Tomita

Authors
  1. Satya Arjunan
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  2. Masaru Tomita
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Correspondence to Satya Arjunan.

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Arjunan, S., Tomita, M. Modeling reaction-diffusion of molecules on surface and in volume spaces with the E-Cell System. Nat Prec (2009). https://doi.org/10.1038/npre.2009.3526.1

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  • Received: 31 July 2009

  • Accepted: 31 July 2009

  • Published: 31 July 2009

  • DOI: https://doi.org/10.1038/npre.2009.3526.1

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Keywords

  • Lattice
  • hexagonal close-packed
  • systems biology
  • Monte Carlo
  • simulation
  • FtsZ
  • MinC
  • stochasticity
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