Simulation of stochastic reaction-diffusion processes on lower dimensional manifolds with application in molecular biology

In this thesis, we simulate stochastically the reaction-diffusion processes in a living cell. The simulation is done in three dimension (3D) by MATLAB. The one dimensional (1D) polymers are embedded in the 3D space. The reaction and diffusion events occur both in the space and on the polymers. There...

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Main Author: Wang, Siyang
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för informationsteknologi 2012
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-181613
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spelling ndltd-UPSALLA1-oai-DiVA.org-uu-1816132013-01-08T13:44:11ZSimulation of stochastic reaction-diffusion processes on lower dimensional manifolds with application in molecular biologyengWang, SiyangUppsala universitet, Institutionen för informationsteknologi2012In this thesis, we simulate stochastically the reaction-diffusion processes in a living cell. The simulation is done in three dimension (3D) by MATLAB. The one dimensional (1D) polymers are embedded in the 3D space. The reaction and diffusion events occur both in the space and on the polymers. There is also a possibility for the molecule to jump between the 3D space and 1D polymers. Two simulation levels are used: mesoscopic and microscopic. An accurate and efficient algorithm is developed for the mesoscopic simulation. The corresponding microscopic Smoluchowski equation is solved numerically by a finite difference method in a specific coordinate system adapted to its boundary conditions. The comparison between the result of the mesoscopic simulation and the solution of the microscopic Smoluchowski equation is provided. Good agreement is observed in the experiments. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-181613IT ; 12 045application/pdfinfo:eu-repo/semantics/openAccess
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language English
format Others
sources NDLTD
description In this thesis, we simulate stochastically the reaction-diffusion processes in a living cell. The simulation is done in three dimension (3D) by MATLAB. The one dimensional (1D) polymers are embedded in the 3D space. The reaction and diffusion events occur both in the space and on the polymers. There is also a possibility for the molecule to jump between the 3D space and 1D polymers. Two simulation levels are used: mesoscopic and microscopic. An accurate and efficient algorithm is developed for the mesoscopic simulation. The corresponding microscopic Smoluchowski equation is solved numerically by a finite difference method in a specific coordinate system adapted to its boundary conditions. The comparison between the result of the mesoscopic simulation and the solution of the microscopic Smoluchowski equation is provided. Good agreement is observed in the experiments.
author Wang, Siyang
spellingShingle Wang, Siyang
Simulation of stochastic reaction-diffusion processes on lower dimensional manifolds with application in molecular biology
author_facet Wang, Siyang
author_sort Wang, Siyang
title Simulation of stochastic reaction-diffusion processes on lower dimensional manifolds with application in molecular biology
title_short Simulation of stochastic reaction-diffusion processes on lower dimensional manifolds with application in molecular biology
title_full Simulation of stochastic reaction-diffusion processes on lower dimensional manifolds with application in molecular biology
title_fullStr Simulation of stochastic reaction-diffusion processes on lower dimensional manifolds with application in molecular biology
title_full_unstemmed Simulation of stochastic reaction-diffusion processes on lower dimensional manifolds with application in molecular biology
title_sort simulation of stochastic reaction-diffusion processes on lower dimensional manifolds with application in molecular biology
publisher Uppsala universitet, Institutionen för informationsteknologi
publishDate 2012
url http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-181613
work_keys_str_mv AT wangsiyang simulationofstochasticreactiondiffusionprocessesonlowerdimensionalmanifoldswithapplicationinmolecularbiology
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