TY - JOUR
T1 - Immunogrid
T2 - Towards agent-based simulations of the human immune system at a natural scale
AU - Halling-Brown, Mark
AU - Pappalardo, Francesco
AU - Rapin, Nicolas
AU - Zhang, Ping
AU - Alemani, Davide
AU - Emerson, Andrew
AU - Castiglione, Filippo
AU - Duroux, Patrice
AU - Pennisi, Marzio
AU - Miotto, Olivo
AU - Churchill, Daniel
AU - Rossi, Elda
AU - Moss, David S.
AU - Sansom, Clare E.
AU - Bernaschi, Massimo
AU - Lefranc, Marie Paule
AU - Brunak, Søren
AU - Lund, Ole
AU - Motta, Santo
AU - Lollini, Pier Luigi
AU - Murgo, Annalisa
AU - Palladini, Arianna
AU - Basford, Kaye E.
AU - Brusic, Vladimir
AU - Shepherd, Adrian J.
PY - 2010/6/13
Y1 - 2010/6/13
N2 - 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
AB - 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
KW - Agent-based simulation
KW - Grid computing
KW - Immunoinformatics
KW - Systems biology
KW - Vaccine discovery
UR - http://www.scopus.com/inward/record.url?scp=77953494820&partnerID=8YFLogxK
U2 - 10.1098/rsta.2010.0067
DO - 10.1098/rsta.2010.0067
M3 - Article
C2 - 20439274
AN - SCOPUS:77953494820
SN - 1364-503X
VL - 368
SP - 2799
EP - 2815
JO - Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
JF - Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
IS - 1920
ER -
