Literature DB >> 19045830

Virtual Cell modelling and simulation software environment.

I I Moraru1, J C Schaff, B M Slepchenko, M L Blinov, F Morgan, A Lakshminarayana, F Gao, Y Li, L M Loew.   

Abstract

The Virtual Cell (VCell; http://vcell.org/) is a problem solving environment, built on a central database, for analysis, modelling and simulation of cell biological processes. VCell integrates a growing range of molecular mechanisms, including reaction kinetics, diffusion, flow, membrane transport, lateral membrane diffusion and electrophysiology, and can associate these with geometries derived from experimental microscope images. It has been developed and deployed as a web-based, distributed, client-server system, with more than a thousand world-wide users. VCell provides a separation of layers (core technologies and abstractions) representing biological models, physical mechanisms, geometry, mathematical models and numerical methods. This separation clarifies the impact of modelling decisions, assumptions and approximations. The result is a physically consistent, mathematically rigorous, spatial modelling and simulation framework. Users create biological models and VCell will automatically (i) generate the appropriate mathematical encoding for running a simulation and (ii) generate and compile the appropriate computer code. Both deterministic and stochastic algorithms are supported for describing and running non-spatial simulations; a full partial differential equation solver using the finite volume numerical algorithm is available for reaction-diffusion-advection simulations in complex cell geometries including 3D geometries derived from microscope images. Using the VCell database, models and model components can be reused and updated, as well as privately shared among collaborating groups, or published. Exchange of models with other tools is possible via import/export of SBML, CellML and MatLab formats. Furthermore, curation of models is facilitated by external database binding mechanisms for unique identification of components and by standardised annotations compliant with the MIRIAM standard. VCell is now open source, with its native model encoding language (VCML) being a public specification, which stands as the basis for a new generation of more customised, experiment-centric modelling tools using a new plug-in based platform.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19045830      PMCID: PMC2711391          DOI: 10.1049/iet-syb:20080102

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  16 in total

1.  Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors.

Authors:  Birgit Schoeberl; Claudia Eichler-Jonsson; Ernst Dieter Gilles; Gertraud Müller
Journal:  Nat Biotechnol       Date:  2002-04       Impact factor: 54.908

2.  The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.

Authors:  M Hucka; A Finney; H M Sauro; H Bolouri; J C Doyle; H Kitano; A P Arkin; B J Bornstein; D Bray; A Cornish-Bowden; A A Cuellar; S Dronov; E D Gilles; M Ginkel; V Gor; I I Goryanin; W J Hedley; T C Hodgman; J-H Hofmeyr; P J Hunter; N S Juty; J L Kasberger; A Kremling; U Kummer; N Le Novère; L M Loew; D Lucio; P Mendes; E Minch; E D Mjolsness; Y Nakayama; M R Nelson; P F Nielsen; T Sakurada; J C Schaff; B E Shapiro; T S Shimizu; H D Spence; J Stelling; K Takahashi; M Tomita; J Wagner; J Wang
Journal:  Bioinformatics       Date:  2003-03-01       Impact factor: 6.937

Review 3.  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 4.  Intracellular signaling: spatial and temporal control.

Authors:  Ion I Moraru; Leslie M Loew
Journal:  Physiology (Bethesda)       Date:  2005-06

Review 5.  PAX of mind for pathway researchers.

Authors:  Joanne S Luciano
Journal:  Drug Discov Today       Date:  2005-07-01       Impact factor: 7.851

6.  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

7.  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

8.  A network model of early events in epidermal growth factor receptor signaling that accounts for combinatorial complexity.

Authors:  Michael L Blinov; James R Faeder; Byron Goldstein; William S Hlavacek
Journal:  Biosystems       Date:  2005-10-17       Impact factor: 1.973

9.  Switching of membrane organelles between cytoskeletal transport systems is determined by regulation of the microtubule-based transport.

Authors:  Boris M Slepchenko; Irina Semenova; Ilya Zaliapin; Vladimir Rodionov
Journal:  J Cell Biol       Date:  2007-11-12       Impact factor: 10.539

10.  Multiscale Hy3S: hybrid stochastic simulation for supercomputers.

Authors:  Howard Salis; Vassilios Sotiropoulos; Yiannis N Kaznessis
Journal:  BMC Bioinformatics       Date:  2006-02-24       Impact factor: 3.169

View more
  86 in total

1.  Leveraging modeling approaches: reaction networks and rules.

Authors:  Michael L Blinov; Ion I Moraru
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

2.  Modeling cellular signaling: taking space into the computation.

Authors:  Michael W Sneddon; Thierry Emonet
Journal:  Nat Methods       Date:  2012-02-28       Impact factor: 28.547

Review 3.  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

Review 4.  Using views of Systems Biology Cloud: application for model building.

Authors:  Oliver Ruebenacker; Michael Blinov
Journal:  Theory Biosci       Date:  2010-08-21       Impact factor: 1.919

5.  Quantifying a pathway: kinetic analysis of actin dendritic nucleation.

Authors:  Pavel Kraikivski; Boris M Slepchenko
Journal:  Biophys J       Date:  2010-08-04       Impact factor: 4.033

Review 6.  Systems biology in immunology: a computational modeling perspective.

Authors:  Ronald N Germain; Martin Meier-Schellersheim; Aleksandra Nita-Lazar; Iain D C Fraser
Journal:  Annu Rev Immunol       Date:  2011       Impact factor: 28.527

7.  Developing models in virtual cell.

Authors:  Susana R Neves
Journal:  Sci Signal       Date:  2011-09-20       Impact factor: 8.192

8.  Rule-based modelling and simulation of biochemical systems with molecular finite automata.

Authors:  J Yang; X Meng; W S Hlavacek
Journal:  IET Syst Biol       Date:  2010-11       Impact factor: 1.615

9.  SpringSaLaD: A Spatial, Particle-Based Biochemical Simulation Platform with Excluded Volume.

Authors:  Paul J Michalski; Leslie M Loew
Journal:  Biophys J       Date:  2016-02-02       Impact factor: 4.033

Review 10.  Systems biology of pro-angiogenic therapies targeting the VEGF system.

Authors:  Feilim Mac Gabhann; Amina A Qutub; Brian H Annex; Aleksander S Popel
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 Nov-Dec
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.