Exact and Approximate Stochastic Simulation of Intracellular Calcium Dynamics.
In simulations of chemical systems, the main task is to find an exact or approximate solution of the chemical master equation (CME) that satisfies certain constraints with respect to computation time and accuracy. While Brownian motion simulations of single molecules are often too time consuming to...
| Publicado en: | Journal of Biomedicine & Biotechnology pp. 1 - 6 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109652686&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109652686 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11107243 137K jtl: Journal of Biomedicine & Biotechnology issn: 11107243 maglogo: N pubinfo: dt: 2011 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109652686 2011452887 NLM22131814 PMC3216318 109652686 ppf: 1 ppct: 5 formats: fmt: @attributes: type: P tig: atl: Exact and Approximate Stochastic Simulation of Intracellular Calcium Dynamics. aug: au: Wieder, Nicolas Fink, Rainer H. A. von Wegner, Frederic affil: Medical Biophysics Group, Institute of Physiology and Pathophysiology, University of Heidelberg, 69120 Heidelberg, Germany sug: ab: In simulations of chemical systems, the main task is to find an exact or approximate solution of the chemical master equation (CME) that satisfies certain constraints with respect to computation time and accuracy. While Brownian motion simulations of single molecules are often too time consuming to represent the mesoscopic level, the classical Gillespie algorithm is a stochastically exact algorithm that provides satisfying results in the representation of calciummicrodomains. Gillespie's algorithm can be approximated via the tau-leap method and the chemical Langevin equation (CLE). Both methods lead to a substantial acceleration in computation time and a relatively small decrease in accuracy. Elimination of the noise terms leads to the classical, deterministic reaction rate equations (RRE). For complex multiscale systems, hybrid simulations are increasingly proposed to combine the advantages of stochastic and deterministic algorithms. An often used exemplary cell type in this context are striated muscle cells (e.g., cardiac and skeletal muscle cells). The properties of these cells are well described and they express many common calcium-dependent signaling pathways. The purpose of the present paper is to provide an overview of the aforementioned simulation approaches and their mutual relationships in the spectrum ranging from stochastic to deterministic algorithms. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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