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ROSE John A.
Department Ritsumeikan Asia Pacific University College of Asia Pacific Studies Position Professor |
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| 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) |