DNA based artificial immune system for self-nonself discrimination
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 (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 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.
Publication Title
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Recommended Citation
Deaton, R., Murphy, R., Garzon, M., Stevens, S., Rose, J., & Franceschetti, D. (1997). DNA based artificial immune system for self-nonself discrimination. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 862-865. Retrieved from https://digitalcommons.memphis.edu/facpubs/13682
