Literature DB >> 12713936

A robust numerical algorithm for studying biomolecular transport processes.

Hongyun Wang1, Charles S Peskin, Timothy C Elston.   

Abstract

We present a numerical algorithm that is well suited for the study of biomolecular transport processes. In the algorithm a continuous Markov process is discretized as a jump process and the jump rates are derived from local solutions of the continuous system. Consequently, the algorithm has two advantages over standard numerical methods: (1) it preserves detailed balance for equilibrium processes, (2) it is able to handle discontinuous potentials. The formulation of the algorithm also allows us to calculate the effective diffusion coefficient or, equivalently, the randomness parameter. We provide several simple examples of how to implement the algorithm. All the MATLAB functions files needed to reproduce the results presented in the article are available from www.amath.unc.edu/Faculty/telston/matlab_functions.

Mesh:

Year:  2003        PMID: 12713936     DOI: 10.1006/jtbi.2003.3200

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


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9.  The influence of volume exclusion by chromatin on the time required to find specific DNA binding sites by diffusion.

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10.  Renewal Reward Perspective on Linear Switching Diffusion Systems in Models of Intracellular Transport.

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