Please use this identifier to cite or link to this item: https://doi.org/10.1098/rsta.2010.0067
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dc.titleImmunogrid: Towards agent-based simulations of the human immune system at a natural scale
dc.contributor.authorHalling-Brown, M.
dc.contributor.authorPappalardo, F.
dc.contributor.authorRapin, N.
dc.contributor.authorZhang, P.
dc.contributor.authorAlemani, D.
dc.contributor.authorEmerson, A.
dc.contributor.authorCastiglione, F.
dc.contributor.authorDuroux, P.
dc.contributor.authorPennisi, M.
dc.contributor.authorMiotto, O.
dc.contributor.authorChurchill, D.
dc.contributor.authorRossi, E.
dc.contributor.authorMoss, D.S.
dc.contributor.authorSansom, C.E.
dc.contributor.authorBernaschi, M.
dc.contributor.authorLefranc, M.-P.
dc.contributor.authorBrunak, S.
dc.contributor.authorLund, O.
dc.contributor.authorMotta, S.
dc.contributor.authorLollini, P.-L.
dc.contributor.authorMurgo, A.
dc.contributor.authorPalladini, A.
dc.contributor.authorBasford, K.E.
dc.contributor.authorBrusic, V.
dc.contributor.authorShepherd, A.J.
dc.date.accessioned2014-12-02T08:39:26Z
dc.date.available2014-12-02T08:39:26Z
dc.date.issued2010-06-13
dc.identifier.citationHalling-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
dc.identifier.issn1364503X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/114671
dc.description.abstractThe 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1098/rsta.2010.0067
dc.sourceScopus
dc.subjectAgent-based simulation
dc.subjectGrid computing
dc.subjectImmunoinformatics
dc.subjectSystems biology
dc.subjectVaccine discovery
dc.typeArticle
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.doi10.1098/rsta.2010.0067
dc.description.sourcetitlePhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
dc.description.volume368
dc.description.issue1920
dc.description.page2799-2815
dc.identifier.isiut000277207300012
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