Coding model for translation in E. coli K-12

Author

May, Elebeoba E. ; Vouk, Mladen A. ; Bitzer, D.L. ; Rosnick, David I.

Author_Institution

Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA

Volume

2

fYear

1999

fDate

36434

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. The 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

Keywords

cellular biophysics; hidden Markov models; microorganisms; molecular biophysics; neural nets; physiological models; proteins; Escherichia coli K-12; block code minimum distance decode; coding model; coding theory; computational methods; engineering constructs; genome; hidden Markov models; messenger RNA; neural networks; noisy encoded message; protein producing regions; protein translation initiation; ribosome; Bioinformatics; Block codes; Decoding; Frequency synchronization; Genetics; Genomics; Hidden Markov models; Protein engineering; RNA; Sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804344

Filename

804344