Computer immunology

Stephanie Forrest, Catherine Beauchemin

Research output: Contribution to journalReview article

113 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)176-197
Number of pages22
JournalImmunological Reviews
Volume216
Issue number1
DOIs
StatePublished - Apr 1 2007
Externally publishedYes

Keywords

  • Agent-based models
  • Artificial immune system
  • Computational immunology
  • In silico modeling

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology

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