ROSE John A.
   Department   Ritsumeikan Asia Pacific University  College of Asia Pacific Studies
   Position   Professor
Language English
Publication Date 1997/10
Type Research paper (Other)
Peer Review Peer reviewed
Title A DNA Based Artificial Immune System for Self-Nonself Discrimination
Contribution Type Joint Work
Journal IEEE International Conference on Systems, Man, and Cybernetics (Proceedings)
Volume, Issue, Page pp.369-374
Author and coauthor R. Deaton, M. Garzon, J. A. Rose, D. R. Franceschetti, R. C. Murphy, and S. E. Stevens, Jr.
Details 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 (e.g. Traveling Salesman) that defy solution
on conventional computers. They are based on (hydrogen
bonding based) matchings (called hybridizations)
between Watson-Crick complementary pairs,
A-T (Adenine-Thymine) or C-G (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 arti cial immune system for selfnonself
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.
Note: (Orlando, FL, Oct 12-15, 1997)