By Topic

A DNA based artificial immune system for self-nonself discrimination

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
R. Deaton ; Dept. of Electr. Eng., Memphis State Univ., TN, USA ; M. Garzon ; J. A. Rose ; R. C. Murphy
more authors

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

Published in:

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on  (Volume:1 )

Date of Conference:

12-15 Oct 1997