• DocumentCode
    3048504
  • Title

    Bioinformatic Approach to Identify Penultimate Amino Acids Efficient for N-Terminal Methionine Excision

  • Author

    Khalouei, Sam ; Yao, Xiaoquan ; Mennigen, Jan ; Carullo, Malisa ; Ma, Pinchao ; Song, Ziyu ; Xiong, Huiling ; Xuhua Xia

  • Author_Institution
    Dept. of Biol., Ottawa Univ., Ottawa, ON
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    386
  • Lastpage
    389
  • Abstract
    More than half of proteins in prokaryotes and eukaryotes undergo N-terminal methionine excision (NME). While it is known that the penultimate amino acid affects the efficiency of NME in several bacterial and eukaryotic species, it is experimentally difficult and tedious to verify which amino acid at the penultimate site (the site after initiator Met) is the most efficient for NME in different species. Here we present a new bioinformatic approach to identify penultimate amino acids that are efficient for NME. Amino acids most efficient for NME are alanine, serine and proline in human, and alanine, glycine, valine, proline and serine in the yeast Saccharomyces cerevisiae. This finding also helps resolve the two hypotheses that have been proposed to explain the presence of+4G site in the Kozak consensus for translation initiation.
  • Keywords
    biology computing; microorganisms; proteins; Kozak consensus; N-terminal methionine excision; alanine; bacteria; bioinformatic approach; eukaryotes; glycine; penultimate amino acids; prokaryotes; proline; proteins; serine; yeast Saccharomyces cerevisiae; Amino acids; Bioinformatics; Frequency; Fungi; Genomics; Humans; Microorganisms; Peptides; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    1-4244-1120-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2007.102
  • Filename
    4272586