Abstract
Immune system has unique defense mechanisms such as innate, humoral and cellular immunity. These immunities are closely related to prevent pathogens from spreading in host and to clear them effectively. To achieve those mechanisms, particular processes, such as clonal expansion, positive and negative selection, and somatic hypermutation and so on, have been evolved. These properties inspired people to open a new field, called artificial immune systems that mimics and modifies immune behaviors to invent new technologies in other fields. To explain immune mechanisms, many mathematical models focusing on one particular phenomenon were developed. We developed an integrated immune model that enables to understand immune responses as a whole and to find new emergent properties of the immune system that could not be seen in separate models. We used a continuous Petri net as modeling language, because of its easiness of modeling and analysis.
This work was supported by the Korean Systems Biology Research Grant (M1-0309-02-0002) from the Ministry of Science and Technology. We would like to thank CHUNG Moon Soul Center for BioInformation and BioElectronics and the IBM SUR program for providing research and computing facilities.
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Na, D., Park, I., Lee, K.H., Lee, D. (2004). Integration of Immune Models Using Petri Nets. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds) Artificial Immune Systems. ICARIS 2004. Lecture Notes in Computer Science, vol 3239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30220-9_17
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DOI: https://doi.org/10.1007/978-3-540-30220-9_17
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