Literature DB >> 12779447

Analysis of nonlinear dynamics on arbitrary geometries with the Virtual Cell.

James C. Schaff1, Boris M. Slepchenko, Yung-Sze Choi, John Wagner, Diana Resasco, Leslie M. Loew.   

Abstract

The Virtual Cell is a modeling tool that allows biologists and theorists alike to specify and simulate cell-biophysical models on arbitrarily complex geometries. The framework combines an intuitive, front-end graphical user interface that runs in a web browser, sophisticated server-side numerical algorithms, a database for storage of models and simulation results, and flexible visualization capabilities. In this paper, we present an overview of the capabilities of the Virtual Cell, and, for the first time, the detailed mathematical formulation used as the basis for spatial computations. We also present summaries of two rather typical modeling projects, in order to illustrate the principal capabilities of the Virtual Cell. (c) 2001 American Institute of Physics.

Year:  2001        PMID: 12779447     DOI: 10.1063/1.1350404

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  19 in total

Review 1.  Use of virtual cell in studies of cellular dynamics.

Authors:  Boris M Slepchenko; Leslie M Loew
Journal:  Int Rev Cell Mol Biol       Date:  2010       Impact factor: 6.813

2.  Systems analysis of PKA-mediated phosphorylation gradients in live cardiac myocytes.

Authors:  Jeffrey J Saucerman; Jin Zhang; Jody C Martin; Lili X Peng; Antine E Stenbit; Roger Y Tsien; Andrew D McCulloch
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-11       Impact factor: 11.205

3.  Synthetic Turing protocells: vesicle self-reproduction through symmetry-breaking instabilities.

Authors:  Javier Macía; Ricard V Solé
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-10-29       Impact factor: 6.237

4.  Depolymerization-driven flow in nematode spermatozoa relates crawling speed to size and shape.

Authors:  Mark Zajac; Brian Dacanay; William A Mohler; Charles W Wolgemuth
Journal:  Biophys J       Date:  2008-01-28       Impact factor: 4.033

5.  An open model of actin dendritic nucleation.

Authors:  Jonathon A Ditlev; Nathaniel M Vacanti; Igor L Novak; Leslie M Loew
Journal:  Biophys J       Date:  2009-05-06       Impact factor: 4.033

6.  A Cut Cell Method for Simulating Spatial Models of Biochemical Reaction Networks in Arbitrary Geometries.

Authors:  Wanda Strychalski; David Adalsteinsson; Timothy C Elston
Journal:  Comm App Math Comp Sci       Date:  2010

7.  Diffusion in cytoplasm: effects of excluded volume due to internal membranes and cytoskeletal structures.

Authors:  Igor L Novak; Pavel Kraikivski; Boris M Slepchenko
Journal:  Biophys J       Date:  2009-08-05       Impact factor: 4.033

8.  Diffusion on a Curved Surface Coupled to Diffusion in the Volume: Application to Cell Biology.

Authors:  Igor L Novak; Fei Gao; Yung-Sze Choi; Diana Resasco; James C Schaff; Boris M Slepchenko
Journal:  J Comput Phys       Date:  2007-10-01       Impact factor: 3.553

9.  Modeling capping protein FRAP and CALI experiments reveals in vivo regulation of actin dynamics.

Authors:  Maryna Kapustina; Eric Vitriol; Timothy C Elston; Leslie M Loew; Ken Jacobson
Journal:  Cytoskeleton (Hoboken)       Date:  2010-08

10.  A new multicompartmental reaction-diffusion modeling method links transient membrane attachment of E. coli MinE to E-ring formation.

Authors:  Satya Nanda Vel Arjunan; Masaru Tomita
Journal:  Syst Synth Biol       Date:  2009-12-10
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