An agent-based approach to immune modelling

Perrin, Dimitri, Ruskin, Heather J., Burns, John, & Crane, Martin (2006) An agent-based approach to immune modelling. Lecture Notes in Computer Science, 3980, pp. 612-621.

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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.

Impact and interest:

5 citations in Scopus
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3 citations in Web of Science®

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ID Code: 82659
Item Type: Journal Article
Refereed: Yes
Additional Information: Computational Science and Its Applications - ICCSA 2006: International Conference, Glasgow, UK, May 8-11, 2006. Proceedings, Part I
Keywords: HIV, immune response, complex system, agent-based, parallelisation methods
DOI: 10.1007/11751540_65
ISBN: 9783540340713
ISSN: 0302-9743
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2006 Springer-Verlag Berlin Heidelberg
Deposited On: 06 May 2015 23:26
Last Modified: 15 May 2015 05:38

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