Literature DB >> 17052123

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

M Ander1, P Beltrao, B Di Ventura, J Ferkinghoff-Borg, M Foglierini, A Kaplan, C Lemerle, I Tomás-Oliveira, L Serrano.   

Abstract

SmartCell has been developed to be a general framework for modelling and simulation of diffusion-reaction networks in a whole-cell context. It supports localisation and diffusion by using a mesoscopic stochastic reaction model. The SmartCell package can handle any cell geometry, considers different cell compartments, allows localisation of species, supports DNA transcription and translation, membrane diffusion and multistep reactions, as well as cell growth. Moreover, different temporal and spatial constraints can be applied to the model. A GUI interface that facilitates model making is also available. In this work we discuss limitations and advantages arising from the approach used in SmartCell and determine the impact of localisation on the behaviour of simple well-defined networks, previously analysed with differential equations. Our results show that this factor might play an important role in the response of networks and cannot be neglected in cell simulations.

Mesh:

Year:  2004        PMID: 17052123     DOI: 10.1049/sb:20045017

Source DB:  PubMed          Journal:  Syst Biol (Stevenage)        ISSN: 1741-2471


  47 in total

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5.  Biochemical simulations: stochastic, approximate stochastic and hybrid approaches.

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Review 6.  Modelling reaction kinetics inside cells.

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7.  Simulated de novo assembly of golgi compartments by selective cargo capture during vesicle budding and targeted vesicle fusion.

Authors:  Haijun Gong; Debrup Sengupta; Adam D Linstedt; Russell Schwartz
Journal:  Biophys J       Date:  2008-05-09       Impact factor: 4.033

8.  Stochastic simulation of signal transduction: impact of the cellular architecture on diffusion.

Authors:  Michael T Klann; Alexei Lapin; Matthias Reuss
Journal:  Biophys J       Date:  2009-06-17       Impact factor: 4.033

9.  Detailed simulations of cell biology with Smoldyn 2.1.

Authors:  Steven S Andrews; Nathan J Addy; Roger Brent; Adam P Arkin
Journal:  PLoS Comput Biol       Date:  2010-03-12       Impact factor: 4.475

10.  Computational systems biology in cancer: modeling methods and applications.

Authors:  Wayne Materi; David S Wishart
Journal:  Gene Regul Syst Bio       Date:  2007-09-17
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