Literature DB >> 21954293

Developing models in virtual cell.

Susana R Neves1.   

Abstract

This Teaching Resource provides lecture notes, slides, and a student assignment for a two-part lecture on mathematical modeling using the Virtual Cell environment. The lectures discuss the steps involved in developing and running simulations using Virtual Cell, with particular focus on spatial partial differential equation models. We discuss how to construct both ordinary differential equation models, in which the cytoplasm is considered a well-mixed cellular compartment, and partial differential equation models, which calculate how chemical species change as a function of both time and location. The Virtual Cell environment is especially well suited for models that explore spatial specificity of cellular reactions. Partial differential equation models in Virtual Cell can give rise to simulations using predefined cellular geometries, which enable direct comparison with imaging data. These models address questions regarding the regulatory capability arising from spatial organization of the cell. Examples are provided of studies that have successfully exploited the Virtual Cell software to address the spatial contribution to signaling.

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Year:  2011        PMID: 21954293      PMCID: PMC4119324          DOI: 10.1126/scisignal.2001970

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


  15 in total

1.  Physiological modeling with virtual cell framework.

Authors:  J C Schaff; B M Slepchenko; L M Loew
Journal:  Methods Enzymol       Date:  2000       Impact factor: 1.600

2.  Systems analysis of Ran transport.

Authors:  Alicia E Smith; Boris M Slepchenko; James C Schaff; Leslie M Loew; Ian G Macara
Journal:  Science       Date:  2002-01-18       Impact factor: 47.728

Review 3.  Computational cell biology: spatiotemporal simulation of cellular events.

Authors:  Boris M Slepchenko; James C Schaff; John H Carson; Leslie M Loew
Journal:  Annu Rev Biophys Biomol Struct       Date:  2001-10-25

Review 4.  The Virtual Cell: a software environment for computational cell biology.

Authors:  L M Loew; J C Schaff
Journal:  Trends Biotechnol       Date:  2001-10       Impact factor: 19.536

Review 5.  Quantitative cell biology with the Virtual Cell.

Authors:  Boris M Slepchenko; James C Schaff; Ian Macara; Leslie M Loew
Journal:  Trends Cell Biol       Date:  2003-11       Impact factor: 20.808

Review 6.  The Virtual Cell project.

Authors:  Leslie M Loew
Journal:  Novartis Found Symp       Date:  2002

Review 7.  Modeling of signaling networks.

Authors:  Susana R Neves; Ravi Iyengar
Journal:  Bioessays       Date:  2002-12       Impact factor: 4.345

8.  Emergent properties of networks of biological signaling pathways.

Authors:  U S Bhalla; R Iyengar
Journal:  Science       Date:  1999-01-15       Impact factor: 47.728

9.  A general computational framework for modeling cellular structure and function.

Authors:  J Schaff; C C Fink; B Slepchenko; J H Carson; L M Loew
Journal:  Biophys J       Date:  1997-09       Impact factor: 4.033

10.  An image-based model of calcium waves in differentiated neuroblastoma cells.

Authors:  C C Fink; B Slepchenko; I I Moraru; J Watras; J C Schaff; L M Loew
Journal:  Biophys J       Date:  2000-07       Impact factor: 4.033

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  2 in total

Review 1.  Advanced systems biology methods in drug discovery and translational biomedicine.

Authors:  Jun Zou; Ming-Wu Zheng; Gen Li; Zhi-Guang Su
Journal:  Biomed Res Int       Date:  2013-09-19       Impact factor: 3.411

2.  Genome scale modeling in systems biology: algorithms and resources.

Authors:  Ali Najafi; Gholamreza Bidkhori; Joseph H Bozorgmehr; Ina Koch; Ali Masoudi-Nejad
Journal:  Curr Genomics       Date:  2014-04       Impact factor: 2.236

  2 in total

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