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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
  • , 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*
*Corresponding author for this work

Research output: Journal PublicationArticlepeer-review

38 Citations (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 〈igrid-ext.cryst.bbk.ac.uk/immunogrid〉.

Original languageEnglish
Pages (from-to)330-340
Number of pages11
JournalBriefings in Bioinformatics
Volume10
Issue number3
DOIs
Publication statusPublished - 2009
Externally publishedYes

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Free Keywords

  • Computational modeling
  • Grid computing
  • Immunoinformatics
  • Simulations
  • Vaccine discovery

ASJC Scopus subject areas

  • Information Systems
  • Molecular Biology

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