• DocumentCode
    2977571
  • Title

    Preliminary Search Engine for Open Protein Identification

  • Author

    Wenli Zhang ; Hao Chi ; Yuanzheng Lu ; Yuqing Huang ; Xiaofang Zhao ; Simin He

  • Author_Institution
    Inst. of Comput. Technol., Beijing, China
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    410
  • Lastpage
    415
  • Abstract
    Protein identification is the most important and basic problem for proteomics. Using tandem mass spectrometry and database search is one of the most widely used identification techniques. However, the improved sensitivity of mass spectrometers, rapid expansion of databases and more complex analysis, like post-translational modification and non-specific enzymatic digestion, have challenged current restricted protein identification search engines in scale and speed severely. In this paper, we proposed an open protein identification method relaxing enzyme, and presented our distributed design to support big protein database with non-specific digestion analysis based on pFind, a practical tandem mass spectra search engine developed in China. With classical bigger protein databases ipi. HUMAN and uniprot-sprot we got nearly linear speedup in a 20-blade cluster. By further analysis, we can expect real time identification to some extent.
  • Keywords
    biology computing; database management systems; mass spectra; proteins; search engines; 20-blade cluster; big protein database support; database search; digestion analysis; open protein identification; preliminary search engine; proteomics; tandem mass spectrometry; Amino acids; Computers; Indexes; Peptides; Proteins; Search engines; cluster; distributed; non-specific enzymatic digestion; open protein identification; search engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2012 13th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-4879-1
  • Type

    conf

  • DOI
    10.1109/PDCAT.2012.112
  • Filename
    6589313