• DocumentCode
    3048329
  • Title

    Mining Protein Pathway from Proteomic Data

  • Author

    Liu, Hongbiao ; Liu, Juan

  • Author_Institution
    Sch. of Comput., Wuhan Univ., Wuhan
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    338
  • Lastpage
    341
  • Abstract
    Finding protein pathways in protein interaction network is a computationally intricate and tough work. In this paper we approach this problem with double direction enumeration method combined with the distance constraints, which greatly increases the speed of the algorithm. The application of the method on the known yeast MAPK pathways verifies our algorithm. Paths with length 8 can be found in 5 minutes by our algorithm and other shorter paths less than 1 minute. Comparison with other methods highlights the efficiency of our work.
  • Keywords
    biology computing; proteins; distance constraints; double direction enumeration method; mining protein pathway; protein interaction network; proteomic data; time 5 min; yeast MAPK pathways; Algorithm design and analysis; Application software; Clustering algorithms; Color; Computer networks; Fungi; Gene expression; Proteins; Proteomics; Signal detection;
  • 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.2007.90
  • Filename
    4272574