ROSE John A.
Department Ritsumeikan Asia Pacific University College of Asia Pacific Studies Position Professor
|Research paper (Other)
|A DNA Based Artificial Immune System for Self-Nonself Discrimination
|IEEE International Conference on Systems, Man, and Cybernetics (Proceedings)
|Volume, Issue, Page
|Author and coauthor
|R. Deaton, M. Garzon, J. A. Rose, D. R. Franceschetti, R. C. Murphy, and S. E. Stevens, Jr.
|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 articial 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
Note: (Orlando, FL, Oct 12-15, 1997)