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International Conference on Intelligent Computing

ICIC 2010: Advanced Intelligent Computing Theories and Applications pp 285–290Cite as

GRIDUISS – A Grid Based Universal Immune System Simulator Framework

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6215))

Abstract

GRIDUISS is a simulation framework to model the immune system using grid technologies. It integrates simulation engines, optimization techniques and other prediction models. GRIDUISS is then capable to reproduce general immune system behavior connected to several immune system response (to viruses, bacteria, tumors and auto-immune disease) and drug-induced immune system responses. This framework has been inspired from the EC funded ImmunoGrid project.

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Author information

Authors and Affiliations

  1. Dept. of Mathematics and Computer Science, University of Catania, V.le A. Doria, 6, I-95125, Catania, Italy

    Francesco Pappalardo, Marzio Pennisi, Ferdinando Chiacchio & Santo Motta

  2. School of Information Science, Japan Advanced Institute of Science and Technology, Japan

    Alessandro Cincotti

Authors
  1. Francesco Pappalardo
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  2. Marzio Pennisi
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  3. Ferdinando Chiacchio
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  4. Alessandro Cincotti
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  5. Santo Motta
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Editor information

Editors and Affiliations

  1. Intelligent Computing Laboratory, Chinese Academy of Sciences, P.O. Box 1130, 230031, Hefei, Anhui, China

    De-Shuang Huang

  2. Department of Biomedical Informatics, Vanderbilt University Medical Center, 2,525 West End Avenue, Suite 600, 37203, Nashville, TN, USA

    Zhongming Zhao

  3. Electrical and Electronics Department, Polytechnic of Bari, Via Orabona 4, 70125, Bari, Italy

    Vitoantonio Bevilacqua

  4. Faculty of Engineering, District University Francisco José de Caldas, Cra. 7a,No. 40-53, Fifth Floor, Bogotá, Colombia

    Juan Carlos Figueroa

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Pappalardo, F., Pennisi, M., Chiacchio, F., Cincotti, A., Motta, S. (2010). GRIDUISS – A Grid Based Universal Immune System Simulator Framework. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_36

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  • DOI: https://doi.org/10.1007/978-3-642-14922-1_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14921-4

  • Online ISBN: 978-3-642-14922-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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