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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Uppsala universitet, Institutionen för informationsteknologi
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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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English |
format |
Others
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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 |
_version_ |
1716527609972523008 |