Computer immunology.
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.
Forrest
Stephanie
S
Department of Computer Science, University of New Mexico, Albuquerque, NM 87131, USA. forrest@cs.unm.edu
Beauchemin
Catherine
C
D000818:Animals; D003198:Computer Simulation; D006678:HIV / Q000276:immunology; D006801:Humans; D007107:Immune System / Q000276:immunology*; D007251:Influenza, Human / Q000276:immunology; D008198:Lymph Nodes / Q000276:immunology; D018448:Models, Immunological