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Long term and short term effects of perturbations in an immune network model

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dc.creator Santos Rita Maria Zorzenon dos
dc.creator Copelli Mauro
dc.date 2003
dc.date.accessioned 2013-06-01T10:39:07Z
dc.date.available 2013-06-01T10:39:07Z
dc.date.issued 2013-06-01
dc.identifier http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332003000300028
dc.identifier http://www.doaj.org/doaj?func=openurl&genre=article&issn=01039733&date=2003&volume=33&issue=3&spage=628
dc.identifier.uri http://koha.mediu.edu.my:8181/jspui/handle/123456789/8252
dc.description In this paper we review the trajectory of a model proposed by Stauffer and Weisbuch in 1992 to describe the evolution of the immune repertoire and present new results about its dynamical behavior. Ten years later this model, which is based on the ideas of the immune network as proposed by Jerne, has been able to describe a multi-connected network and could be used to reproduce immunization and aging experiments performed with mice. The immunization protocol is simulated by introducing small and large perturbations (damages), and in this work we discuss the role of both. Besides its biological implications, the physical aspects of the complex dynamics of this network is very interesting per se. In a very recent paper we studied the aging effects by using auto-correlation functions, and the results obtained apparently indicated that the small perturbations would be more important than the large ones, since their cumulative effects may change the attractor of the dynamics. However our new results indicate that both types of perturbations are important. It is the cooperative effects between both that lead to the complex behavior which allows to reproduce experimental results.
dc.publisher Sociedade Brasileira de Física
dc.source Brazilian Journal of Physics
dc.title Long term and short term effects of perturbations in an immune network model


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