Recognising promoter sequences using an artificial immune system.

D E Cooke; J E Hunt

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PubMed · 7584471

Recognising promoter sequences using an artificial immune system.

D E Cooke·J E Hunt

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Abstract

We have developed an artificial immune system (AIS) which is based on the human immune system. The AIS possesses an adaptive learning mechanism which enables antibodies to emerge which can be used for classification tasks. In this paper, we describe how the AIS has been used to evolve antibodies which can classify promoter containing and promoter negative DNA sequences. The DNA sequences used for teaching were 57 nucleotides in length and contained procaryotic promoters. The system classified previously unseen DNA sequences with an accuracy of approximately 90%.

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Algorithms Antigen-Antibody Reactions Antigens B-Lymphocytes Base Sequence DNA Humans Models, Immunological Models, Theoretical Molecular Sequence Data Neural Networks, Computer Promoter Regions, Genetic Comparative Study Journal Article

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D E Cooke, J E Hunt. 1995. Recognising promoter sequences using an artificial immune system.. https://pubmed.ncbi.nlm.nih.gov/7584471/

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