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An agent-based approach to immune modelling

Perrin, Dimitri and Ruskin, Heather J. and Burns, John and Crane, Martin (2006) An agent-based approach to immune modelling. In: ICCSA 2006 - Computational Science and Its Applications, 8-11 May, 2006, Glasgow, UK. ISBN 978-3-540-34070-6

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Abstract

This study focuses on trying to understand why the range of experience with respect to HIV infection is so diverse, especially as regards to the latency period. The challenge is to determine what assumptions can be made about the nature of the experience of antigenic invasion and diversity that can be modelled, tested and argued plausibly. To investigate this, an agent-based approach is used to extract high-level behaviour which cannot be described analytically from the set of interaction rules at the cellular level. A prototype model encompasses local variation in baseline properties contributing to the individual disease experience and is included in a network which mimics the chain of lymphatic nodes. Dealing with massively multi-agent systems requires major computational efforts. However, parallelisation methods are a natural consequence and advantage of the multi-agent approach. These are implemented using the MPI library.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:The original publication is available at www.springerlink.com
Uncontrolled Keywords:HIV; immune response; complex system; agent-based; parallelisation methods;
Subjects:Biological Sciences > Bioinformatics
Physical Sciences > Statistical physics
Computer Science > Computer simulation
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Computational Science and Its Applications - ICCSA 2006. Lecture Notes in Computer Science 3980. Springer Berlin / Heidelberg. ISBN 978-3-540-34070-6
Publisher:Springer Berlin / Heidelberg
Official URL:http://dx.doi.org/10.1007/11751540_65
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
Funders:Irish Research Council for Science Engineering and Technology, EMBARK Scholarship
ID Code:15005
Deposited On:19 Nov 2009 10:53 by Martin Crane. Last Modified 19 Nov 2009 10:53

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