• DocumentCode
    316259
  • Title

    A DNA based artificial immune system for self-nonself discrimination

  • Author

    Deaton, R. ; Garzon, M. ; Rose, J.A. ; Murphy, R.C. ; Stevens, S.E., Jr. ; Francheschetti, D.R.

  • Author_Institution
    Dept. of Electr. Eng., Memphis State Univ., TN, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    862
  • Abstract
    Artificial immune systems attempt to distinguish self from nonself through string matching operations. A detector set of strings is selected by eliminating random strings that match the self strings. DNA based computers have been proposed to solve complex problems that defy solution on conventional computers. They are based on (hydrogen bonding based) matchings (called hybridizations) between Watson-Crick complementary pairs, Adenine-Thymine or Cytosine-Guanine. Therefore, a single strand (an oligonucleotide) will bind with other oligonucleotides that match most closely its sequence under the operation of Watson-Crick complementation. In this paper, an algorithm for implementing an artificial immune system for self-nonself discrimination based on DNA is described. This procedure takes advantage of the inherent pattern matching capability of DNA hybridization reactions and the notion of similarity naturally found in DNA hybridization
  • Keywords
    DNA; computation theory; parallel machines; pattern matching; physiological models; string matching; DNA; Watson-Crick complementation; artificial immune system; hybridizations; nonself discrimination; oligonucleotides; pattern matching; self discrimination; string matching; Artificial immune systems; Biology computing; Bonding; Cells (biology); Computer science; DNA computing; Detectors; Immune system; Physics; Traveling salesman problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.626210
  • Filename
    626210