• DocumentCode
    1650719
  • Title

    Distribution of Protein Superfamilies in the Three Superkingdoms of Life

  • Author

    Wei, Guan ; Zou Xian-Wu

  • Author_Institution
    Dept. Phys., Wuhan Univ. of Sci. & Eng., Wuhan
  • fYear
    2008
  • Firstpage
    109
  • Lastpage
    112
  • Abstract
    The Superfamily database provides structural assignments to protein sequences. This assignment enable us to analyze the distribution of specific superfamilies within and across the genomes. Here, we focus on the distributions of superfamilies in archaeal, bacterial and eukaryotic genomes. The distribution of the most common superfamilies in archaea and bacteria are very similar (6 of the top 10 superfamilies are the same) but distinct in eukaryotes. But there is only p-loop superfamily in the top 10 superfamilies in the three superkingdoms. When the total number of domains in a genome is larger, duplication of the 6 common superfamilies in archaea and bacteria are more but relative abundant distribution is lower. This phenomenon is more obvious in metazoa. The 6 superfamilies occur almost in all discussial completed genomes, and the structures are lined to alpha/beta structural class, and their functions are mainly enzyme. So these superfamilies are important for more genomes, even eukaryote genome, although these superfamilies are not mainly duplicated in eukaryote genomes.
  • Keywords
    cellular biophysics; genetics; molecular biophysics; proteins; alpha structural class; archaeal genome; bacterial genome; beta structural class; enzyme; eukaryotic genome; life superkingdom; metazoa; p loop superfamily; protein sequence structural assignments; protein superfamily distribution; superfamily database; Animals; Archaea; Bioinformatics; Fungi; Genomics; Hidden Markov models; Microorganisms; Physics; Protein engineering; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.33
  • Filename
    4534913