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Varying the resolution of the Rouse model on temporal and spatial scales: application to multiscale modelling of DNA dynamics

Abstract:
A multi-resolution bead-spring model for polymer dynamics is developed as a generalization of the Rouse model. A polymer chain is described using beads of variable sizes connected by springs with variable spring constants. A numerical scheme which can use different timesteps to advance the positions of different beads is presented and analyzed. The position of a particular bead is only updated at integer multiples of the timesteps associated with its connecting springs. This approach extends the Rouse model to a multiscale model on both spatial and temporal scales, allowing simulations of localized regions of a polymer chain with high spatial and temporal resolution, while using a coarser modelling approach to describe the rest of the polymer chain. A method for changing the model resolution on-the-fly is developed using the Metropolis-Hastings algorithm. It is shown that this approach maintains key statistics of the end-to-end distance and diffusion of the polymer filament and makes computational savings when applied to a model for the binding of a protein to the DNA filament.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1137/16M108700X

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Oxford college:
Merton College
Role:
Author


Publisher:
Society for Industrial and Applied Mathematics
Journal:
Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal More from this journal
Volume:
15
Issue:
4
Pages:
1672–1693
Publication date:
2017-11-16
Acceptance date:
2017-05-22
DOI:
EISSN:
1540-3467
ISSN:
1540-3459


Keywords:
Pubs id:
pubs:636617
UUID:
uuid:7248d8e8-1a05-4294-9c02-cbc80f871aa3
Local pid:
pubs:636617
Source identifiers:
636617
Deposit date:
2017-05-25
ARK identifier:

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