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ImmunoGrid: towards agent-based simulations of the human immune system at a natural scale

Halling-Brown, Mark D. and Pappalardo, F. and Rapin, N. and Zhang, P. and Alemani, D. and Emerson, A. and Castiglione, F. and Duroux, P. and Pennisi, M. and Miotto, O. and Churchill, D. and Rossi, E. and Moss, David S. and Sansom, Clare E. and Bernaschi, M. and Lefranc, M.P. and Brunak, S. and Lund, O. and Motta, S. and Lollini, P.L. and Murgo, A. and Palladini, A. and Basford, K.E. and Brusic, V. and Shepherd, Adrian J. (2010) ImmunoGrid: towards agent-based simulations of the human immune system at a natural scale. Philosophical Transactions of the Royal Society A 368 (1920), pp. 1799-1815. ISSN 0080-4614.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1098/rsta.2010.0067

Abstract

The ultimate aim of the EU-funded ImmunoGrid project is to develop a natural-scale model of the human immune system—that is, one that reflects both the diversity and the relative proportions of the molecules and cells that comprise it—together with the grid infrastructure necessary to apply this model to specific applications in the field of immunology. These objectives present the ImmunoGrid Consortium with formidable challenges in terms of complexity of the immune system, our partial understanding about how the immune system works, the lack of reliable data and the scale of computational resources required. In this paper, we explain the key challenges and the approaches adopted to overcome them. We also consider wider implications for the present ambitious plans to develop natural-scale, integrated models of the human body that can make contributions to personalized health care, such as the European Virtual Physiological Human initiative. Finally, we ask a key question: How long will it take us to resolve these challenges and when can we expect to have fully functional models that will deliver health-care benefits in the form of personalized care solutions and improved disease prevention?

Item Type: Article
Keyword(s) / Subject(s): systems biology, agent-based simulation, immunoinformatics, Grid computing, vaccine discovery
School or Research Centre: Birkbeck Schools and Research Centres > School of Science > Biological Sciences
Depositing User: Administrator
Date Deposited: 04 Aug 2010 14:09
Last Modified: 17 Apr 2013 12:17
URI: http://eprints.bbk.ac.uk/id/eprint/1094

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