Literature DB >> 23719732

Stochastic analysis of reaction-diffusion processes.

Jifeng Hu1, Hye-Won Kang, Hans G Othmer.   

Abstract

Reaction and diffusion processes are used to model chemical and biological processes over a wide range of spatial and temporal scales. Several routes to the diffusion process at various levels of description in time and space are discussed and the master equation for spatially discretized systems involving reaction and diffusion is developed. We discuss an estimator for the appropriate compartment size for simulating reaction-diffusion systems and introduce a measure of fluctuations in a discretized system. We then describe a new computational algorithm for implementing a modified Gillespie method for compartmental systems in which reactions are aggregated into equivalence classes and computational cells are searched via an optimized tree structure. Finally, we discuss several examples that illustrate the issues that have to be addressed in general systems.

Entities:  

Mesh:

Year:  2013        PMID: 23719732      PMCID: PMC3825834          DOI: 10.1007/s11538-013-9849-y

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  18 in total

1.  The effect of the signalling scheme on the robustness of pattern formation in development.

Authors:  Hye-Won Kang; Likun Zheng; Hans G Othmer
Journal:  Interface Focus       Date:  2012-03-21       Impact factor: 3.906

2.  Simulating mesoscopic reaction-diffusion systems using the Gillespie algorithm.

Authors:  David Bernstein
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-04-08

3.  A stochastic analysis of first-order reaction networks.

Authors:  Chetan Gadgil; Chang Hyeong Lee; Hans G Othmer
Journal:  Bull Math Biol       Date:  2005-01-19       Impact factor: 1.758

4.  SmartCell, a framework to simulate cellular processes that combines stochastic approximation with diffusion and localisation: analysis of simple networks.

Authors:  M Ander; P Beltrao; B Di Ventura; J Ferkinghoff-Borg; M Foglierini; A Kaplan; C Lemerle; I Tomás-Oliveira; L Serrano
Journal:  Syst Biol (Stevenage)       Date:  2004-06

5.  Spontaneous separation of bi-stable biochemical systems into spatial domains of opposite phases.

Authors:  J Elf; M Ehrenberg
Journal:  Syst Biol (Stevenage)       Date:  2004-12

6.  A stochastic analysis of actin polymerization in the presence of twinfilin and gelsolin.

Authors:  Anastasios Matzavinos; Hans G Othmer
Journal:  J Theor Biol       Date:  2007-08-28       Impact factor: 2.691

7.  A comparison of bimolecular reaction models for stochastic reaction-diffusion systems.

Authors:  I C Agbanusi; S A Isaacson
Journal:  Bull Math Biol       Date:  2013-04-12       Impact factor: 1.758

8.  Models of dispersal in biological systems.

Authors:  H G Othmer; S R Dunbar; W Alt
Journal:  J Math Biol       Date:  1988       Impact factor: 2.259

9.  MULTISCALE MODELS OF TAXIS-DRIVEN PATTERNING IN BACTERIAL POPULATIONS.

Authors:  Chuan Xue; Hans G Othmer
Journal:  SIAM J Appl Math       Date:  2009       Impact factor: 2.080

10.  Physical properties of Tld, Sog, Tsg and Dpp protein interactions are predicted to help create a sharp boundary in Bmp signals during dorsoventral patterning of the Drosophila embryo.

Authors:  Osamu Shimmi; Michael B O'Connor
Journal:  Development       Date:  2003-10       Impact factor: 6.868

View more
  6 in total

1.  Constant-complexity stochastic simulation algorithm with optimal binning.

Authors:  Kevin R Sanft; Hans G Othmer
Journal:  J Chem Phys       Date:  2015-08-21       Impact factor: 3.488

2.  Editorial: special issue on stochastic modelling of reaction-diffusion processes in biology.

Authors:  Radek Erban; Hans G Othmer
Journal:  Bull Math Biol       Date:  2014-04       Impact factor: 1.758

3.  A multi-time-scale analysis of chemical reaction networks: II. Stochastic systems.

Authors:  Xingye Kan; Chang Hyeong Lee; Hans G Othmer
Journal:  J Math Biol       Date:  2016-03-05       Impact factor: 2.259

4.  A hybrid continuous-discrete method for stochastic reaction-diffusion processes.

Authors:  Wing-Cheong Lo; Likun Zheng; Qing Nie
Journal:  R Soc Open Sci       Date:  2016-09-14       Impact factor: 2.963

5.  Multiscale Stochastic Reaction-Diffusion Algorithms Combining Markov Chain Models with Stochastic Partial Differential Equations.

Authors:  Hye-Won Kang; Radek Erban
Journal:  Bull Math Biol       Date:  2019-06-04       Impact factor: 1.758

Review 6.  The Roles of Signaling in Cytoskeletal Changes, Random Movement, Direction-Sensing and Polarization of Eukaryotic Cells.

Authors:  Yougan Cheng; Bryan Felix; Hans G Othmer
Journal:  Cells       Date:  2020-06-10       Impact factor: 6.600

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.