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Wiley InterScience | ||||||||||
  Immunological ReviewsVolume 216 Issue 1, Pages 176 - 197 Special Issue: Quantitative Modeling of Immune Responses Published Online: 12 Mar 2007 © 2010 John Wiley & Sons A/S
Abstract | References | Full Text: HTML, PDF (Size: 918K) | Related Articles | Citation Tracking  Computer immunology Copyright 2007 The Authors Journal compilation KEYWORDS
artificial immune system
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agent-based models
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in silico modeling
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computational immunology
ABSTRACTSummary: This review describes a body of work on computational immune systems that behave analogously to the natural immune system. These artificial immune systems (AIS) simulate the behavior of the natural immune system and in some cases have been used to solve practical engineering problems such as computer security. AIS have several strengths that can complement wet lab immunology. It is easier to conduct simulation experiments and to vary experimental conditions, for example, to rule out hypotheses; it is easier to isolate a single mechanism to test hypotheses about how it functions; agent-based models of the immune system can integrate data from several different experiments into a single in silico experimental system. Received: 29 January 2007; Accepted: 07 March 2007; | 
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