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 proceedingConference contribution

8 Scopus citations

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 1999Oct 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
Period10/13/9910/16/99

ASJC Scopus subject areas

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

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