Literature DB >> 20020130

A Lagrangian particle method for reaction-diffusion systems on deforming surfaces.

Michael Bergdorf1, Ivo F Sbalzarini, Petros Koumoutsakos.   

Abstract

Reaction-diffusion processes on complex deforming surfaces are fundamental to a number of biological processes ranging from embryonic development to cancer tumor growth and angiogenesis. The simulation of these processes using continuum reaction-diffusion models requires computational methods capable of accurately tracking the geometric deformations and discretizing on them the governing equations. We employ a Lagrangian level-set formulation to capture the deformation of the geometry and use an embedding formulation and an adaptive particle method to discretize both the level-set equations and the corresponding reaction-diffusion. We validate the proposed method and discuss its advantages and drawbacks through simulations of reaction-diffusion equations on complex and deforming geometries.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 20020130     DOI: 10.1007/s00285-009-0315-2

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  9 in total

1.  Turing patterns on a sphere.

Authors:  C Varea; J L Aragón; R A Barrio
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1999-10

2.  Complex morphogenesis of surfaces: theory and experiment on coupling of reaction-diffusion patterning to growth.

Authors:  L G Harrison; S Wehner; D M Holloway
Journal:  Faraday Discuss       Date:  2001       Impact factor: 4.008

3.  Simulations of (an)isotropic diffusion on curved biological surfaces.

Authors:  Ivo F Sbalzarini; Arnold Hayer; Ari Helenius; Petros Koumoutsakos
Journal:  Biophys J       Date:  2005-11-11       Impact factor: 4.033

4.  A mechanism for morphogen-controlled domain growth.

Authors:  R E Baker; P K Maini
Journal:  J Math Biol       Date:  2006-12-16       Impact factor: 2.259

5.  Complex patterns in a simple system.

Authors:  J E Pearson
Journal:  Science       Date:  1993-07-09       Impact factor: 47.728

6.  A hybrid model for three-dimensional simulations of sprouting angiogenesis.

Authors:  Florian Milde; Michael Bergdorf; Petros Koumoutsakos
Journal:  Biophys J       Date:  2008-06-27       Impact factor: 4.033

7.  Spatio-temporal pattern formation on spherical surfaces: numerical simulation and application to solid tumour growth.

Authors:  M A Chaplain; M Ganesh; I G Graham
Journal:  J Math Biol       Date:  2001-05       Impact factor: 2.259

8.  Morphogenesis of the branching reef coral Madracis mirabilis.

Authors:  Jaap A Kaandorp; Peter M A Sloot; Roeland M H Merks; Rolf P M Bak; Mark J A Vermeij; Cornelia Maier
Journal:  Proc Biol Sci       Date:  2005-01-22       Impact factor: 5.349

9.  Multiscale modelling and nonlinear simulation of vascular tumour growth.

Authors:  Paul Macklin; Steven McDougall; Alexander R A Anderson; Mark A J Chaplain; Vittorio Cristini; John Lowengrub
Journal:  J Math Biol       Date:  2008-09-10       Impact factor: 2.259

  9 in total
  5 in total

1.  Modeling and simulation of biological systems from image data.

Authors:  Ivo F Sbalzarini
Journal:  Bioessays       Date:  2013-03-27       Impact factor: 4.345

2.  Daughter cell identity emerges from the interplay of Cdc42, septins, and exocytosis.

Authors:  Satoshi Okada; Marcin Leda; Julia Hanna; Natasha S Savage; Erfei Bi; Andrew B Goryachev
Journal:  Dev Cell       Date:  2013-07-29       Impact factor: 13.417

3.  Self-organized shape dynamics of active surfaces.

Authors:  Alexander Mietke; Frank Jülicher; Ivo F Sbalzarini
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-19       Impact factor: 11.205

4.  A C++ expression system for partial differential equations enables generic simulations of biological hydrodynamics.

Authors:  Abhinav Singh; Pietro Incardona; Ivo F Sbalzarini
Journal:  Eur Phys J E Soft Matter       Date:  2021-09-23       Impact factor: 1.890

Review 5.  Spatial simulations in systems biology: from molecules to cells.

Authors:  Michael Klann; Heinz Koeppl
Journal:  Int J Mol Sci       Date:  2012-06-21       Impact factor: 6.208

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.