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Modelling the Control of an Immune Response Through Cytokine Signalling

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Artificial Immune Systems (ICARIS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4163))

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Abstract

This paper presents the computer aided simulation of a model for the control of an immune response. This model has been developed to investigate the proposed hypothesis that the same cytokine that amplifies an initiated response can eventually lead to its downregulation, if it can act on more than one cell type. The simulation environment is composed of effector cells and regulatory cells; the former, when activated, initiate an immune response, while the latter are responsible for controlling the magnitude of the response. The signalling that coordinates this process is modelled using stimulation and regulation cytokines. Simulation results obtained, in accordance with the motivating idea, are presented and discussed.

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© 2006 Springer-Verlag Berlin Heidelberg

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Guzella, T., Mota-Santos, T., Uchôa, J., Caminhas, W. (2006). Modelling the Control of an Immune Response Through Cytokine Signalling. In: Bersini, H., Carneiro, J. (eds) Artificial Immune Systems. ICARIS 2006. Lecture Notes in Computer Science, vol 4163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11823940_2

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  • DOI: https://doi.org/10.1007/11823940_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37749-8

  • Online ISBN: 978-3-540-37751-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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