The Multiscale Systems Immunology project: software for cell-based immunological simulation.

dc.contributor.author

Mitha, Faheem

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Lucas, Timothy A

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Feng, Feng

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Kepler, Thomas B

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Chan, Cliburn

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England

dc.date.accessioned

2013-04-29T17:59:24Z

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2008-04-28

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BACKGROUND: Computer simulations are of increasing importance in modeling biological phenomena. Their purpose is to predict behavior and guide future experiments. The aim of this project is to model the early immune response to vaccination by an agent based immune response simulation that incorporates realistic biophysics and intracellular dynamics, and which is sufficiently flexible to accurately model the multi-scale nature and complexity of the immune system, while maintaining the high performance critical to scientific computing. RESULTS: The Multiscale Systems Immunology (MSI) simulation framework is an object-oriented, modular simulation framework written in C++ and Python. The software implements a modular design that allows for flexible configuration of components and initialization of parameters, thus allowing simulations to be run that model processes occurring over different temporal and spatial scales. CONCLUSION: MSI addresses the need for a flexible and high-performing agent based model of the immune system.

dc.identifier

https://www.ncbi.nlm.nih.gov/pubmed/18442405

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1751-0473-3-6

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1751-0473

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https://hdl.handle.net/10161/6936

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eng

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Springer Science and Business Media LLC

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Source Code Biol Med

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10.1186/1751-0473-3-6

dc.title

The Multiscale Systems Immunology project: software for cell-based immunological simulation.

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Journal article

duke.contributor.orcid

Chan, Cliburn|0000-0001-5901-6806

pubs.author-url

https://www.ncbi.nlm.nih.gov/pubmed/18442405

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6

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Basic Science Departments

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Biostatistics & Bioinformatics

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Duke

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Immunology

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School of Medicine

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Statistical Science

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Trinity College of Arts & Sciences

pubs.publication-status

Published online

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3

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