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Coding model for translation in E. coli K-12

Elebeoba May, Mladen A. Vouk, Donald L. Bitzer, David I. Rosnick

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Various computational methods for determining protein producing regions in a given genome are based on engineering constructs such as Hidden Markov Models and neural networks. This work presents a coding theory approach to modeling the process of protein translation initiation. The messenger RNA (mRNA) is viewed as a noisy encoded message and the ribosome as a block code minimum distance decoder. The results of applying this model to the Escherichia coli K-12 are presented.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
Volume2
ISBN (Print)0780356756
StatePublished - Dec 1 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999 → Oct 16 1999

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/99 → 10/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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