ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization

Francesco Pappalardo; Mark D Halling-Brown; Nicolas Rapin; Ping Zhang; Davide Alemani; Andrew Emerson; Paola Paci; Laurent Patrice Duroux; Marzio Pennisi; Arianna Palladini; Olivo Miotto; Daniel Churchill; Elda Rossi; Adrian J Shepherd; David S Moss; Filippo Castiglione; Massimo Bernaschi; Marie-Paule Lefranc; Søren Brunak; Santo Motta; Pier-Luigi Lollini; Kaye E Basford; Vladimir Brusic

doi:10.1093/bib/bbp014

ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization

Francesco Pappalardo, Mark D Halling-Brown, Nicolas Rapin, Ping Zhang, Davide Alemani, Andrew Emerson, Paola Paci, Laurent Patrice Duroux, Marzio Pennisi, Arianna Palladini, Olivo Miotto, Daniel Churchill, Elda Rossi, Adrian J Shepherd, David S Moss, Filippo Castiglione, Massimo Bernaschi, Marie-Paule Lefranc, Søren Brunak, Santo MottaPier-Luigi Lollini, Kaye E Basford, Vladimir Brusic

35 Citationer (Scopus)

Abstract

Vaccine research is a combinatorial science requiring computational analysis of vaccine components, formulations and optimization. We have developed a framework that combines computational tools for the study of immune function and vaccine development. This framework, named ImmunoGrid combines conceptual models of the immune system, models of antigen processing and presentation, system-level models of the immune system, Grid computing, and database technology to facilitate discovery, formulation and optimization of vaccines. ImmunoGrid modules share common conceptual models and ontologies. The ImmunoGrid portal offers access to educational simulators where previously defined cases can be displayed, and to research simulators that allow the development of new, or tuning of existing, computational models. The portal is accessible at .

Originalsprog	Engelsk
Tidsskrift	Briefings in Bioinformatics
Vol/bind	10
Udgave nummer	3
Sider (fra-til)	330-40
Antal sider	11
ISSN	1467-5463
DOI	https://doi.org/10.1093/bib/bbp014
Status	Udgivet - 2009

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Pappalardo, F., Halling-Brown, M. D., Rapin, N., Zhang, P., Alemani, D., Emerson, A., Paci, P., Duroux, L. P., Pennisi, M., Palladini, A., Miotto, O., Churchill, D., Rossi, E., Shepherd, A. J., Moss, D. S., Castiglione, F., Bernaschi, M., Lefranc, M-P., Brunak, S., ... Brusic, V. (2009). ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. Briefings in Bioinformatics, 10(3), 330-40. https://doi.org/10.1093/bib/bbp014

Pappalardo, F, Halling-Brown, MD, Rapin, N, Zhang, P, Alemani, D, Emerson, A, Paci, P, Duroux, LP, Pennisi, M, Palladini, A, Miotto, O, Churchill, D, Rossi, E, Shepherd, AJ, Moss, DS, Castiglione, F, Bernaschi, M, Lefranc, M-P, Brunak, S, Motta, S, Lollini, P-L, Basford, KE & Brusic, V 2009, 'ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization', Briefings in Bioinformatics, bind 10, nr. 3, s. 330-40. https://doi.org/10.1093/bib/bbp014

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abstract = "Vaccine research is a combinatorial science requiring computational analysis of vaccine components, formulations and optimization. We have developed a framework that combines computational tools for the study of immune function and vaccine development. This framework, named ImmunoGrid combines conceptual models of the immune system, models of antigen processing and presentation, system-level models of the immune system, Grid computing, and database technology to facilitate discovery, formulation and optimization of vaccines. ImmunoGrid modules share common conceptual models and ontologies. The ImmunoGrid portal offers access to educational simulators where previously defined cases can be displayed, and to research simulators that allow the development of new, or tuning of existing, computational models. The portal is accessible at .",

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AU - Pappalardo, Francesco

AU - Halling-Brown, Mark D

AU - Rapin, Nicolas

AU - Zhang, Ping

AU - Alemani, Davide

AU - Emerson, Andrew

AU - Paci, Paola

AU - Duroux, Laurent Patrice

AU - Pennisi, Marzio

AU - Palladini, Arianna

AU - Miotto, Olivo

AU - Churchill, Daniel

AU - Rossi, Elda

AU - Shepherd, Adrian J

AU - Moss, David S

AU - Castiglione, Filippo

AU - Bernaschi, Massimo

AU - Lefranc, Marie-Paule

AU - Brunak, Søren

AU - Motta, Santo

AU - Lollini, Pier-Luigi

AU - Basford, Kaye E

AU - Brusic, Vladimir

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AB - Vaccine research is a combinatorial science requiring computational analysis of vaccine components, formulations and optimization. We have developed a framework that combines computational tools for the study of immune function and vaccine development. This framework, named ImmunoGrid combines conceptual models of the immune system, models of antigen processing and presentation, system-level models of the immune system, Grid computing, and database technology to facilitate discovery, formulation and optimization of vaccines. ImmunoGrid modules share common conceptual models and ontologies. The ImmunoGrid portal offers access to educational simulators where previously defined cases can be displayed, and to research simulators that allow the development of new, or tuning of existing, computational models. The portal is accessible at .

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KW - Computer Systems

KW - Database Management Systems

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KW - Drug Design

KW - Humans

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KW - Systems Integration

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ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization

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