• DocumentCode
    1971764
  • Title

    Ribosome binding model using a codebook and exponential metric

  • Author

    Al Bataineh, Mohammad ; Alonso, Maria ; Wang, Siyun ; Zhang, Wei ; Atkin, Guillermo

  • Author_Institution
    Illinois Inst. of Technol., Chicago
  • fYear
    2007
  • fDate
    17-20 May 2007
  • Firstpage
    438
  • Lastpage
    442
  • Abstract
    A model based on a variable length codebook and a metric is used to model the process of translation in gene expression. In this model it is assumed the ribosome decodes the mRNA sequence by using the 3´end of the 16SrRNA molecule as an embedded codebook. The metric uses an exponential algorithm to recognize the Shine Dalgarno (SD) sequence that allows detecting this sequence in each gene without the averaging used by Dawy et al. (2005). The E.Coli 0157:H7 Sakai sequence data is used in this model and the validity of the results is proved by the ability of detecting the Shine Dalgarno in translation. The initiation codon still can be found by averaging using the method used by Dawy et al. (2005). Mutations are also studied for Jacob, Hui and De Boer cases. Results are compared to biological data and prove to be consistent.
  • Keywords
    biochemistry; genetics; molecular biophysics; molecular configurations; physiological models; 16SrRNA molecule; E.Coli 0157:H7 Sakai sequence; Shine Dalgarno sequence; exponential metric; gene expression; mRNA sequence; ribosome binding model; translation; variable length codebook; Bioinformatics; Biological information theory; Biological system modeling; Chemical technology; DNA; Food technology; Gene expression; Genetics; Proteins; Sequences; Bioinformatics; Dalgarno; Gene expression; Shine; mRNA; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology, 2007 IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-0941-9
  • Electronic_ISBN
    978-1-4244-0941-9
  • Type

    conf

  • DOI
    10.1109/EIT.2007.4374519
  • Filename
    4374519