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

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

Standard

ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. / Pappalardo, Francesco; Halling-Brown, Mark D; Rapin, Nicolas; Zhang, Ping; Alemani, Davide; Emerson, Andrew; Paci, Paola; Duroux, Laurent Patrice; Pennisi, Marzio; Palladini, Arianna; Miotto, Olivo; Churchill, Daniel; Rossi, Elda; Shepherd, Adrian J; Moss, David S; Castiglione, Filippo; Bernaschi, Massimo; Lefranc, Marie-Paule; Brunak, Søren; Motta, Santo; Lollini, Pier-Luigi; Basford, Kaye E; Brusic, Vladimir.

In: Briefings in Bioinformatics, Vol. 10, No. 3, 2009, p. 330-40.

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

Harvard

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, vol. 10, no. 3, pp. 330-40. https://doi.org/10.1093/bib/bbp014

APA

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

Vancouver

Pappalardo F, Halling-Brown MD, Rapin N, Zhang P, Alemani D, Emerson A et al. ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. Briefings in Bioinformatics. 2009;10(3):330-40. https://doi.org/10.1093/bib/bbp014

Author

Pappalardo, Francesco ; Halling-Brown, Mark D ; Rapin, Nicolas ; Zhang, Ping ; Alemani, Davide ; Emerson, Andrew ; Paci, Paola ; Duroux, Laurent Patrice ; Pennisi, Marzio ; Palladini, Arianna ; Miotto, Olivo ; Churchill, Daniel ; Rossi, Elda ; Shepherd, Adrian J ; Moss, David S ; Castiglione, Filippo ; Bernaschi, Massimo ; Lefranc, Marie-Paule ; Brunak, Søren ; Motta, Santo ; Lollini, Pier-Luigi ; Basford, Kaye E ; Brusic, Vladimir. / ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. In: Briefings in Bioinformatics. 2009 ; Vol. 10, No. 3. pp. 330-40.

Bibtex

@article{3d600bbe52dd4e558847390b4bc0ec32,
title = "ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization",
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 .",
keywords = "Computational Biology, Computer Systems, Database Management Systems, Databases, Factual, Drug Design, Humans, Immune System, Major Histocompatibility Complex, Models, Biological, Systems Integration, Vaccines",
author = "Francesco Pappalardo and Halling-Brown, {Mark D} and Nicolas Rapin and Ping Zhang and Davide Alemani and Andrew Emerson and Paola Paci and Duroux, {Laurent Patrice} and Marzio Pennisi and Arianna Palladini and Olivo Miotto and Daniel Churchill and Elda Rossi and Shepherd, {Adrian J} and Moss, {David S} and Filippo Castiglione and Massimo Bernaschi and Marie-Paule Lefranc and S{\o}ren Brunak and Santo Motta and Pier-Luigi Lollini and Basford, {Kaye E} and Vladimir Brusic",
year = "2009",
doi = "10.1093/bib/bbp014",
language = "English",
volume = "10",
pages = "330--40",
journal = "Briefings in Bioinformatics",
issn = "1467-5463",
publisher = "Oxford University Press",
number = "3",

}

RIS

TY - JOUR

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

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

PY - 2009

Y1 - 2009

N2 - 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 .

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 .

KW - Computational Biology

KW - Computer Systems

KW - Database Management Systems

KW - Databases, Factual

KW - Drug Design

KW - Humans

KW - Immune System

KW - Major Histocompatibility Complex

KW - Models, Biological

KW - Systems Integration

KW - Vaccines

U2 - 10.1093/bib/bbp014

DO - 10.1093/bib/bbp014

M3 - Journal article

C2 - 19383844

VL - 10

SP - 330

EP - 340

JO - Briefings in Bioinformatics

JF - Briefings in Bioinformatics

SN - 1467-5463

IS - 3

ER -

ID: 40804498