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A Lattice-Boltzmann scheme for the simulation of diffusion in intracellular crowded systems

BACKGROUND: The intracellular environment is a complex and crowded medium where the diffusion of proteins, metabolites and other molecules can be decreased. One of the most popular methodologies for the simulation of diffusion in crowding systems is the Monte Carlo algorithm (MC) which tracks the mo...

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Autores principales: Angeles-Martinez, Liliana, Theodoropoulos, Constantinos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632338/
https://www.ncbi.nlm.nih.gov/pubmed/26530635
http://dx.doi.org/10.1186/s12859-015-0769-8
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author Angeles-Martinez, Liliana
Theodoropoulos, Constantinos
author_facet Angeles-Martinez, Liliana
Theodoropoulos, Constantinos
author_sort Angeles-Martinez, Liliana
collection PubMed
description BACKGROUND: The intracellular environment is a complex and crowded medium where the diffusion of proteins, metabolites and other molecules can be decreased. One of the most popular methodologies for the simulation of diffusion in crowding systems is the Monte Carlo algorithm (MC) which tracks the movement of each particle. This can, however, be computationally expensive for a system comprising a large number of molecules. On the other hand, the Lattice Boltzmann Method (LBM) tracks the movement of collections of molecules, which represents significant savings in computational time. Nevertheless in the classical manifestation of such scheme the crowding conditions are neglected. METHODS: In this paper we use Scaled Particle Theory (SPT) to approximate the probability to find free space for the displacement of hard-disk molecules and in this way to incorporate the crowding effect to the LBM. This new methodology which couples SPT and LBM is validated using a kinetic Monte Carlo (kMC) algorithm, which is used here as our "computational experiment". RESULTS: The results indicate that LBM over-predicts the diffusion in 2D crowded systems, while the proposed coupled SPT-LBM predicts the same behaviour as the kinetic Monte Carlo (kMC) algorithm but with a significantly reduced computational effort. Despite the fact that small deviations between the two methods were observed, in part due to the mesoscopic and microscopic nature of each method, respectively, the agreement was satisfactory both from a qualitative and a quantitative point of view. CONCLUSIONS: A crowding-adaptation to LBM has been developed using SPT, allowing fast simulations of diffusion-systems of different size hard-disk molecules in two-dimensional space. This methodology takes into account crowding conditions; not only the space fraction occupied by the crowder molecules but also the influence of the size of the crowder which can affect the displacement of molecules across the lattice system. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0769-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-46323382015-11-04 A Lattice-Boltzmann scheme for the simulation of diffusion in intracellular crowded systems Angeles-Martinez, Liliana Theodoropoulos, Constantinos BMC Bioinformatics Research Article BACKGROUND: The intracellular environment is a complex and crowded medium where the diffusion of proteins, metabolites and other molecules can be decreased. One of the most popular methodologies for the simulation of diffusion in crowding systems is the Monte Carlo algorithm (MC) which tracks the movement of each particle. This can, however, be computationally expensive for a system comprising a large number of molecules. On the other hand, the Lattice Boltzmann Method (LBM) tracks the movement of collections of molecules, which represents significant savings in computational time. Nevertheless in the classical manifestation of such scheme the crowding conditions are neglected. METHODS: In this paper we use Scaled Particle Theory (SPT) to approximate the probability to find free space for the displacement of hard-disk molecules and in this way to incorporate the crowding effect to the LBM. This new methodology which couples SPT and LBM is validated using a kinetic Monte Carlo (kMC) algorithm, which is used here as our "computational experiment". RESULTS: The results indicate that LBM over-predicts the diffusion in 2D crowded systems, while the proposed coupled SPT-LBM predicts the same behaviour as the kinetic Monte Carlo (kMC) algorithm but with a significantly reduced computational effort. Despite the fact that small deviations between the two methods were observed, in part due to the mesoscopic and microscopic nature of each method, respectively, the agreement was satisfactory both from a qualitative and a quantitative point of view. CONCLUSIONS: A crowding-adaptation to LBM has been developed using SPT, allowing fast simulations of diffusion-systems of different size hard-disk molecules in two-dimensional space. This methodology takes into account crowding conditions; not only the space fraction occupied by the crowder molecules but also the influence of the size of the crowder which can affect the displacement of molecules across the lattice system. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0769-8) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-03 /pmc/articles/PMC4632338/ /pubmed/26530635 http://dx.doi.org/10.1186/s12859-015-0769-8 Text en © Angeles-Martinez and Theodoropoulos. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Angeles-Martinez, Liliana
Theodoropoulos, Constantinos
A Lattice-Boltzmann scheme for the simulation of diffusion in intracellular crowded systems
title A Lattice-Boltzmann scheme for the simulation of diffusion in intracellular crowded systems
title_full A Lattice-Boltzmann scheme for the simulation of diffusion in intracellular crowded systems
title_fullStr A Lattice-Boltzmann scheme for the simulation of diffusion in intracellular crowded systems
title_full_unstemmed A Lattice-Boltzmann scheme for the simulation of diffusion in intracellular crowded systems
title_short A Lattice-Boltzmann scheme for the simulation of diffusion in intracellular crowded systems
title_sort lattice-boltzmann scheme for the simulation of diffusion in intracellular crowded systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632338/
https://www.ncbi.nlm.nih.gov/pubmed/26530635
http://dx.doi.org/10.1186/s12859-015-0769-8
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