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

F. Pappalardo; M. D. Halling-Brown; Nicolas Rapin; Ping Zhang; D. Alemani; A. Emerson; P. Paci; P. Duroux; M. Pennisi; A. Palladini; O. Miotto; D. Churchill; E. Rossi; A. J. Shepherd; D. S. Moss; F. Castiglione; M. Bernaschi; M. P. Lefranc; Søren Brunak; S. Motta; P. L. Lollini; K. E. Basford; V. Brusic

doi:10.1093/bib/bbp014

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

F. Pappalardo, M. D. Halling-Brown, Nicolas Rapin, Ping Zhang, D. Alemani, A. Emerson, P. Paci, P. Duroux, M. Pennisi, A. Palladini, O. Miotto, D. Churchill, E. Rossi, A. J. Shepherd, D. S. Moss, F. Castiglione, M. Bernaschi, M. P. Lefranc, Søren Brunak, S. MottaP. L. Lollini, K. E. Basford, V. Brusic

Research output: Contribution to journal › Journal article › Research › peer-review

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 http://www.w3.org.

Original language	English
Journal	Briefings in Bioinformatics
Volume	10
Issue number	3
Pages (from-to)	330-340
ISSN	1467-5463
DOIs	https://doi.org/10.1093/bib/bbp014
Publication status	Published - 2009

Keywords

vaccine discovery
immunoinformatics
Grid computing
computational modeling
simulations

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1093/bib/bbp014

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Pappalardo, F., Halling-Brown, M. D., Rapin, N., Zhang, P., Alemani, D., Emerson, A., Paci, P., Duroux, 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), 330-340. 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 http://www.w3.org.",

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author = "F. Pappalardo and Halling-Brown, {M. D.} and Nicolas Rapin and Ping Zhang and D. Alemani and A. Emerson and P. Paci and P. Duroux and M. Pennisi and A. Palladini and O. Miotto and D. Churchill and E. Rossi and Shepherd, {A. J.} and Moss, {D. S.} and F. Castiglione and M. Bernaschi and Lefranc, {M. P.} and S{\o}ren Brunak and S. Motta and Lollini, {P. L.} and Basford, {K. E.} and V. Brusic",

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Pappalardo, F, Halling-Brown, MD, Rapin, N, Zhang, P, Alemani, D, Emerson, A, Paci, P, Duroux, P, Pennisi, M, Palladini, A, Miotto, O, Churchill, D, Rossi, E, Shepherd, AJ, Moss, DS, Castiglione, F, Bernaschi, M, Lefranc, MP, Brunak, S, Motta, S, Lollini, PL, 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, vol. 10, no. 3, pp. 330-340. https://doi.org/10.1093/bib/bbp014

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T1 - ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization

AU - Pappalardo, F.

AU - Halling-Brown, M. D.

AU - Rapin, Nicolas

AU - Zhang, Ping

AU - Alemani, D.

AU - Emerson, A.

AU - Paci, P.

AU - Duroux, P.

AU - Pennisi, M.

AU - Palladini, A.

AU - Miotto, O.

AU - Churchill, D.

AU - Rossi, E.

AU - Shepherd, A. J.

AU - Moss, D. S.

AU - Castiglione, F.

AU - Bernaschi, M.

AU - Lefranc, M. P.

AU - Brunak, Søren

AU - Motta, S.

AU - Lollini, P. L.

AU - Basford, K. E.

AU - Brusic, V.

PY - 2009

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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 http://www.w3.org.

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KW - immunoinformatics

KW - Grid computing

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

Abstract

Keywords

UN SDGs

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