• DocumentCode
    1604053
  • Title

    Update on the Pfam5000 Strategy for Selection of Structural Genomics Targets

  • Author

    Chandonia, J.-M. ; Brenner, S.E.

  • Author_Institution
    Div. of Phys. Biosci., Lawrence Berkeley Nat. Lab., CA
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    751
  • Lastpage
    755
  • Abstract
    Structural genomics is an international effort to determine the three-dimensional shapes of all important biological macromolecules, with a primary focus on proteins. Target proteins should be selected according to a strategy that is medically and biologically relevant, of good financial value, and tractable. In 2003, we presented the "Pfam5000" strategy, which involves selecting the 5,000 most important families from the Pfam database as sources for targets. In this update, we show that although both the Pfam database and the number of sequenced genomes have increased in size, the expected benefits of the Pfam5000 strategy have not changed substantially. Solving the structures of proteins from the 5,000 largest Pfam families would allow accurate fold assignment for approximately 65% of all prokaryotic proteins (covering 54% of residues) and 63% of eukaryotic proteins (42% of residues). Fewer than 2,300 of the largest families on this list remain to be solved, making the project feasible in the next five years given the expected throughput to be achieved in the production phase of the Protein Structure Initiative
  • Keywords
    biology computing; genetics; molecular biophysics; proteins; Pfam database; Pfam5000 strategy; Protein Structure Initiative; biological macromolecules; eukaryotic proteins; prokaryotic proteins; protein structures; sequenced genomes; structural genomics targets; Bioinformatics; Databases; Genomics; Molecular biophysics; Production; Proteins; RNA; Sequences; Shape; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616523
  • Filename
    1616523