The immunogrid simulator: how to use it

Authors:
Francesco Pappalardo;Mark Halling-Brown;Marzio Pennisi;Ferdinando Chiacchio;Clare E. Sansom;Adrian J. Shepherd;David S. Moss;Santo Motta;Vladimir Brusic
Affiliations:
Department of Mathematics and Computer Science, University of Catania and Istituto per le applicazioni del calcolo Mauro Picone, CNR, Roma;The Institute of Cancer Research, Surrey;Department of Mathematics and Computer Science, University of Catania;Department of Mathematics and Computer Science, University of Catania;Department of Biological Sciences and Institute of Structural and Molecular Biology, Birkbeck College, University of London;Department of Biological Sciences and Institute of Structural and Molecular Biology, Birkbeck College, University of London;Department of Biological Sciences and Institute of Structural and Molecular Biology, Birkbeck College, University of London;Department of Mathematics and Computer Science, University of Catania and Faculty of Pharmacy, University of Catania;Cancer Vaccine Center, Dana-Farber Cancer Institute, Boston
Venue:
CIBB'09 Proceedings of the 6th international conference on Computational intelligence methods for bioinformatics and biostatistics
Year:
2009

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Abstract

In this paper we present the ImmunoGrid project, whose goal is to develop an immune system simulator which integrates molecular and system level models with Grid computing resources for large-scale tasks and databases. We introduce the models and the technologies used in the ImmunoGrid Simulator, showing how to use them through the ImmunoGrid web interface. The ImmunoGrid project has proved that simulators can be used in conjunction with grid technologies for drug and vaccine discovery, demonstrating that it is possible to drastically reduce the developing time of such products.