Recognising promoter sequences using an artificial immune system

Technical Report · Sun Dec 31 00:00:00 EST 1995

OSTI ID:401833

Cooke, D E; Hunt, J E ^[1]

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1. Univ. of Wales, Dyfed (United Kingdom)

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%.

• Research Organization: Stanford Univ., CA (United States)
• OSTI ID: 401833
• Report Number(s): CONF-9507246-; TRN: 96:005602-0011
• Resource Relation: Conference: Intelligent Systems for Molecular Biology (ISMB) conference, Cambridge (United Kingdom), 16-19 Jul 1995; Other Information: PBD: 1995; Related Information: Is Part Of ISMB-95 -- Third international conference on intelligent systems for molecular biology: Proceedings; Rawlings, C.; Clark, D.; Altman, R.; Hunter, L.; Lengauer, T.; Wodak, S. [eds.]; PB: 427 p.
• Country of Publication: United States
• Language: English

Related Subjects

55 BIOLOGY AND MEDICINE
BASIC STUDIES
DNA SEQUENCING
ACCURACY
ANTIBODIES
DNA
NUCLEOTIDES
PROMOTERS
IMMUNITY
IMMUNE REACTIONS
PATTERN RECOGNITION