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Computational simulation of a new system modelling ions electromigration through biological membranes

BACKGROUND: The interest in cell membrane has grown drastically for their important role as controllers of biological functions in health and illness. In fact most important physiological processes are intimately related to the transport ability of the membrane, such as cell adhesion, cell signaling...

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Detalles Bibliográficos
Autores principales: Alaa, Noureddine, Lefraich, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848662/
https://www.ncbi.nlm.nih.gov/pubmed/24010551
http://dx.doi.org/10.1186/1742-4682-10-51
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author Alaa, Noureddine
Lefraich, Hamid
author_facet Alaa, Noureddine
Lefraich, Hamid
author_sort Alaa, Noureddine
collection PubMed
description BACKGROUND: The interest in cell membrane has grown drastically for their important role as controllers of biological functions in health and illness. In fact most important physiological processes are intimately related to the transport ability of the membrane, such as cell adhesion, cell signaling and immune defense. Furthermore, ion migration is connected with life-threatening pathologies such as metastases and atherosclerosis. Consequently, a large amount of research is consecrated to this topic. To better understand cell membranes, more accurate models of ionic flux are required and also their computational simulations. RESULTS: This paper is presenting the numerical simulation of a more general system modelling ion migration through biological membranes. The model includes both the effects of biochemical reaction between ions and fixed charges. The model is a nonlinear coupled system. In the first we describe the mathematical model. To realize the numerical simulation of our model, we proceed by a finite element discretisation and then by choosing an appropriate resolution algorithm to the nonlinearities. CONCLUSIONS: We give numerical simulations obtained for different popular models of enzymatic reaction which were compared to those obtained in literature on systems of ordinary differential equations. The results obtained show a complete agreement between the two modellings. Furthermore, various numerical experiments are presented to confirm the accuracy, efficiency and stability of the proposed method. In particular, we show that the scheme is unconditionally stable and second-order accurate in space.
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spelling pubmed-38486622013-12-05 Computational simulation of a new system modelling ions electromigration through biological membranes Alaa, Noureddine Lefraich, Hamid Theor Biol Med Model Research BACKGROUND: The interest in cell membrane has grown drastically for their important role as controllers of biological functions in health and illness. In fact most important physiological processes are intimately related to the transport ability of the membrane, such as cell adhesion, cell signaling and immune defense. Furthermore, ion migration is connected with life-threatening pathologies such as metastases and atherosclerosis. Consequently, a large amount of research is consecrated to this topic. To better understand cell membranes, more accurate models of ionic flux are required and also their computational simulations. RESULTS: This paper is presenting the numerical simulation of a more general system modelling ion migration through biological membranes. The model includes both the effects of biochemical reaction between ions and fixed charges. The model is a nonlinear coupled system. In the first we describe the mathematical model. To realize the numerical simulation of our model, we proceed by a finite element discretisation and then by choosing an appropriate resolution algorithm to the nonlinearities. CONCLUSIONS: We give numerical simulations obtained for different popular models of enzymatic reaction which were compared to those obtained in literature on systems of ordinary differential equations. The results obtained show a complete agreement between the two modellings. Furthermore, various numerical experiments are presented to confirm the accuracy, efficiency and stability of the proposed method. In particular, we show that the scheme is unconditionally stable and second-order accurate in space. BioMed Central 2013-09-05 /pmc/articles/PMC3848662/ /pubmed/24010551 http://dx.doi.org/10.1186/1742-4682-10-51 Text en Copyright © 2013 Alaa and Lefraich; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Alaa, Noureddine
Lefraich, Hamid
Computational simulation of a new system modelling ions electromigration through biological membranes
title Computational simulation of a new system modelling ions electromigration through biological membranes
title_full Computational simulation of a new system modelling ions electromigration through biological membranes
title_fullStr Computational simulation of a new system modelling ions electromigration through biological membranes
title_full_unstemmed Computational simulation of a new system modelling ions electromigration through biological membranes
title_short Computational simulation of a new system modelling ions electromigration through biological membranes
title_sort computational simulation of a new system modelling ions electromigration through biological membranes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848662/
https://www.ncbi.nlm.nih.gov/pubmed/24010551
http://dx.doi.org/10.1186/1742-4682-10-51
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