Please use this identifier to cite or link to this item: https://doi.org/10.1098/rsta.2010.0067
Title: Immunogrid: Towards agent-based simulations of the human immune system at a natural scale
Authors: Halling-Brown, M.
Pappalardo, F.
Rapin, N.
Zhang, P.
Alemani, D.
Emerson, A.
Castiglione, F.
Duroux, P.
Pennisi, M.
Miotto, O. 
Churchill, D.
Rossi, E.
Moss, D.S.
Sansom, C.E.
Bernaschi, M.
Lefranc, M.-P.
Brunak, S.
Lund, O.
Motta, S.
Lollini, P.-L.
Murgo, A.
Palladini, A.
Basford, K.E.
Brusic, V.
Shepherd, A.J.
Keywords: Agent-based simulation
Grid computing
Immunoinformatics
Systems biology
Vaccine discovery
Issue Date: 13-Jun-2010
Citation: Halling-Brown, M., Pappalardo, F., Rapin, N., Zhang, P., Alemani, D., Emerson, A., Castiglione, F., Duroux, P., Pennisi, M., Miotto, O., Churchill, D., Rossi, E., Moss, D.S., Sansom, C.E., Bernaschi, M., Lefranc, M.-P., Brunak, S., Lund, O., Motta, S., Lollini, P.-L., Murgo, A., Palladini, A., Basford, K.E., Brusic, V., Shepherd, A.J. (2010-06-13). Immunogrid: Towards agent-based simulations of the human immune system at a natural scale. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368 (1920) : 2799-2815. ScholarBank@NUS Repository. https://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? This journal is © 2010 The Royal Society.
Source Title: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
URI: http://scholarbank.nus.edu.sg/handle/10635/114671
ISSN: 1364503X
DOI: 10.1098/rsta.2010.0067
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