Literature DB >> 19383844

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

Francesco Pappalardo1, 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.   

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>.

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Year:  2009        PMID: 19383844     DOI: 10.1093/bib/bbp014

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  15 in total

Review 1.  Allergen databases: current status and perspectives.

Authors:  Adriano Mari; Chiara Rasi; Paola Palazzo; Enrico Scala
Journal:  Curr Allergy Asthma Rep       Date:  2009-09       Impact factor: 4.806

Review 2.  A review of quantitative modeling of B cell responses to antigenic challenge.

Authors:  Timothy P Hickling; Xiaoying Chen; Paolo Vicini; Satyaprakash Nayak
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-10-19       Impact factor: 2.745

3.  Dana-Farber repository for machine learning in immunology.

Authors:  Guang Lan Zhang; Hong Huang Lin; Derin B Keskin; Ellis L Reinherz; Vladimir Brusic
Journal:  J Immunol Methods       Date:  2011-07-18       Impact factor: 2.303

4.  How the interval between prime and boost injection affects the immune response in a computational model of the immune system.

Authors:  F Castiglione; F Mantile; P De Berardinis; A Prisco
Journal:  Comput Math Methods Med       Date:  2012-09-11       Impact factor: 2.238

5.  Relaxation estimation of RMSD in molecular dynamics immunosimulations.

Authors:  Wolfgang Schreiner; Rudolf Karch; Bernhard Knapp; Nevena Ilieva
Journal:  Comput Math Methods Med       Date:  2012-09-16       Impact factor: 2.238

6.  Optimal vaccination schedule search using genetic algorithm over MPI technology.

Authors:  Cristiano Calonaci; Ferdinando Chiacchio; Francesco Pappalardo
Journal:  BMC Med Inform Decis Mak       Date:  2012-11-13       Impact factor: 2.796

7.  Criticality of timing for anti-HIV therapy initiation.

Authors:  Filippo Castiglione; Paola Paci
Journal:  PLoS One       Date:  2010-12-23       Impact factor: 3.240

8.  Immune system modeling and related pathologies.

Authors:  Francesco Pappalardo; Vladimir Brusic; Holger Fröhlich
Journal:  Comput Math Methods Med       Date:  2012-12-17       Impact factor: 2.238

9.  Mathematical modeling of the immune system recognition to mammary carcinoma antigen.

Authors:  Carlo Bianca; Ferdinando Chiacchio; Francesco Pappalardo; Marzio Pennisi
Journal:  BMC Bioinformatics       Date:  2012-12-13       Impact factor: 3.169

10.  Modeling innate immune response to early Mycobacterium infection.

Authors:  Rafael V Carvalho; Jetty Kleijn; Annemarie H Meijer; Fons J Verbeek
Journal:  Comput Math Methods Med       Date:  2012-12-09       Impact factor: 2.238

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