Immunogrid

Towards agent-based simulations of the human immune system at a natural scale

Mark Halling-Brown, Francesco Pappalardo, Nicolas Rapin, Ping Zhang, Davide Alemani, Andrew Emerson, Filippo Castiglione, Patrice Duroux, Marzio Pennisi, Olivo Miotto, Daniel Churchill, Elda Rossi, David S. Moss, Clare E. Sansom, Massimo Bernaschi, Marie Paule Lefranc, Søren Brunak, Ole Lund, Santo Motta, Pier Luigi Lollini & 5 others Annalisa Murgo, Arianna Palladini, Kaye E. Basford, Vladimir Brusic, Adrian J. Shepherd

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

The ultimate aim of the EU-funded ImmunoGrid project is to develop a natural-scale model of the human immune system-that is, one that reflects both the diversity and the relative proportions of the molecules and cells that comprise it-together with the grid infrastructure necessary to apply this model to specific applications in the field of immunology. These objectives present the ImmunoGrid Consortium with formidable challenges in terms of complexity of the immune system, our partial understanding about how the immune system works, the lack of reliable data and the scale of computational resources required. In this paper, we explain the key challenges and the approaches adopted to overcome them. We also consider wider implications for the present ambitious plans to develop natural-scale, integrated models of the human body that can make contributions to personalized health care, such as the European Virtual Physiological Human initiative. Finally, we ask a key question: How long will it take us to resolve these challenges and when can we expect to have fully functional models that will deliver health-care benefits in the form of personalized care solutions and improved disease prevention? This journal is

Original languageEnglish
Pages (from-to)2799-2815
Number of pages17
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume368
Issue number1920
DOIs
Publication statusPublished - Jun 13 2010
Externally publishedYes

Fingerprint

immune systems
Immune system
Agent-based Simulation
Immune System
Healthcare
health
immunology
Health care
Immunology
Functional Model
simulation
Integrated Model
human body
scale models
Resolve
resources
proportion
Proportion
Infrastructure
grids

Keywords

  • Agent-based simulation
  • Grid computing
  • Immunoinformatics
  • Systems biology
  • Vaccine discovery

ASJC Scopus subject areas

  • Mathematics(all)
  • Physics and Astronomy(all)
  • Engineering(all)

Cite this

Immunogrid : Towards agent-based simulations of the human immune system at a natural scale. / Halling-Brown, Mark; Pappalardo, Francesco; Rapin, Nicolas; Zhang, Ping; Alemani, Davide; Emerson, Andrew; Castiglione, Filippo; Duroux, Patrice; Pennisi, Marzio; Miotto, Olivo; Churchill, Daniel; Rossi, Elda; Moss, David S.; Sansom, Clare E.; Bernaschi, Massimo; Lefranc, Marie Paule; Brunak, Søren; Lund, Ole; Motta, Santo; Lollini, Pier Luigi; Murgo, Annalisa; Palladini, Arianna; Basford, Kaye E.; Brusic, Vladimir; Shepherd, Adrian J.

In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 368, No. 1920, 13.06.2010, p. 2799-2815.

Research output: Contribution to journalArticle

Halling-Brown, M, Pappalardo, F, Rapin, N, Zhang, P, Alemani, D, Emerson, A, Castiglione, F, Duroux, P, Pennisi, M, Miotto, O, Churchill, D, Rossi, E, Moss, DS, Sansom, CE, Bernaschi, M, Lefranc, MP, Brunak, S, Lund, O, Motta, S, Lollini, PL, Murgo, A, Palladini, A, Basford, KE, Brusic, V & Shepherd, AJ 2010, 'Immunogrid: Towards agent-based simulations of the human immune system at a natural scale', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 368, no. 1920, pp. 2799-2815. https://doi.org/10.1098/rsta.2010.0067
Halling-Brown, Mark ; Pappalardo, Francesco ; Rapin, Nicolas ; Zhang, Ping ; Alemani, Davide ; Emerson, Andrew ; Castiglione, Filippo ; Duroux, Patrice ; Pennisi, Marzio ; Miotto, Olivo ; Churchill, Daniel ; Rossi, Elda ; Moss, David S. ; Sansom, Clare E. ; Bernaschi, Massimo ; Lefranc, Marie Paule ; Brunak, Søren ; Lund, Ole ; Motta, Santo ; Lollini, Pier Luigi ; Murgo, Annalisa ; Palladini, Arianna ; Basford, Kaye E. ; Brusic, Vladimir ; Shepherd, Adrian J. / Immunogrid : Towards agent-based simulations of the human immune system at a natural scale. In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2010 ; Vol. 368, No. 1920. pp. 2799-2815.
@article{4a5459b5fad7484ba4d55b8621e63b41,
title = "Immunogrid: Towards agent-based simulations of the human immune system at a natural scale",
abstract = "The ultimate aim of the EU-funded ImmunoGrid project is to develop a natural-scale model of the human immune system-that is, one that reflects both the diversity and the relative proportions of the molecules and cells that comprise it-together with the grid infrastructure necessary to apply this model to specific applications in the field of immunology. These objectives present the ImmunoGrid Consortium with formidable challenges in terms of complexity of the immune system, our partial understanding about how the immune system works, the lack of reliable data and the scale of computational resources required. In this paper, we explain the key challenges and the approaches adopted to overcome them. We also consider wider implications for the present ambitious plans to develop natural-scale, integrated models of the human body that can make contributions to personalized health care, such as the European Virtual Physiological Human initiative. Finally, we ask a key question: How long will it take us to resolve these challenges and when can we expect to have fully functional models that will deliver health-care benefits in the form of personalized care solutions and improved disease prevention? This journal is",
keywords = "Agent-based simulation, Grid computing, Immunoinformatics, Systems biology, Vaccine discovery",
author = "Mark Halling-Brown and Francesco Pappalardo and Nicolas Rapin and Ping Zhang and Davide Alemani and Andrew Emerson and Filippo Castiglione and Patrice Duroux and Marzio Pennisi and Olivo Miotto and Daniel Churchill and Elda Rossi and Moss, {David S.} and Sansom, {Clare E.} and Massimo Bernaschi and Lefranc, {Marie Paule} and S{\o}ren Brunak and Ole Lund and Santo Motta and Lollini, {Pier Luigi} and Annalisa Murgo and Arianna Palladini and Basford, {Kaye E.} and Vladimir Brusic and Shepherd, {Adrian J.}",
year = "2010",
month = "6",
day = "13",
doi = "10.1098/rsta.2010.0067",
language = "English",
volume = "368",
pages = "2799--2815",
journal = "Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences",
issn = "0962-8428",
publisher = "Royal Society of London",
number = "1920",

}

TY - JOUR

T1 - Immunogrid

T2 - Towards agent-based simulations of the human immune system at a natural scale

AU - Halling-Brown, Mark

AU - Pappalardo, Francesco

AU - Rapin, Nicolas

AU - Zhang, Ping

AU - Alemani, Davide

AU - Emerson, Andrew

AU - Castiglione, Filippo

AU - Duroux, Patrice

AU - Pennisi, Marzio

AU - Miotto, Olivo

AU - Churchill, Daniel

AU - Rossi, Elda

AU - Moss, David S.

AU - Sansom, Clare E.

AU - Bernaschi, Massimo

AU - Lefranc, Marie Paule

AU - Brunak, Søren

AU - Lund, Ole

AU - Motta, Santo

AU - Lollini, Pier Luigi

AU - Murgo, Annalisa

AU - Palladini, Arianna

AU - Basford, Kaye E.

AU - Brusic, Vladimir

AU - Shepherd, Adrian J.

PY - 2010/6/13

Y1 - 2010/6/13

N2 - The ultimate aim of the EU-funded ImmunoGrid project is to develop a natural-scale model of the human immune system-that is, one that reflects both the diversity and the relative proportions of the molecules and cells that comprise it-together with the grid infrastructure necessary to apply this model to specific applications in the field of immunology. These objectives present the ImmunoGrid Consortium with formidable challenges in terms of complexity of the immune system, our partial understanding about how the immune system works, the lack of reliable data and the scale of computational resources required. In this paper, we explain the key challenges and the approaches adopted to overcome them. We also consider wider implications for the present ambitious plans to develop natural-scale, integrated models of the human body that can make contributions to personalized health care, such as the European Virtual Physiological Human initiative. Finally, we ask a key question: How long will it take us to resolve these challenges and when can we expect to have fully functional models that will deliver health-care benefits in the form of personalized care solutions and improved disease prevention? This journal is

AB - The ultimate aim of the EU-funded ImmunoGrid project is to develop a natural-scale model of the human immune system-that is, one that reflects both the diversity and the relative proportions of the molecules and cells that comprise it-together with the grid infrastructure necessary to apply this model to specific applications in the field of immunology. These objectives present the ImmunoGrid Consortium with formidable challenges in terms of complexity of the immune system, our partial understanding about how the immune system works, the lack of reliable data and the scale of computational resources required. In this paper, we explain the key challenges and the approaches adopted to overcome them. We also consider wider implications for the present ambitious plans to develop natural-scale, integrated models of the human body that can make contributions to personalized health care, such as the European Virtual Physiological Human initiative. Finally, we ask a key question: How long will it take us to resolve these challenges and when can we expect to have fully functional models that will deliver health-care benefits in the form of personalized care solutions and improved disease prevention? This journal is

KW - Agent-based simulation

KW - Grid computing

KW - Immunoinformatics

KW - Systems biology

KW - Vaccine discovery

UR - http://www.scopus.com/inward/record.url?scp=77953494820&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953494820&partnerID=8YFLogxK

U2 - 10.1098/rsta.2010.0067

DO - 10.1098/rsta.2010.0067

M3 - Article

VL - 368

SP - 2799

EP - 2815

JO - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

JF - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

SN - 0962-8428

IS - 1920

ER -