• DocumentCode
    2459109
  • Title

    A Relational Approach for Pathway Analysis

  • Author

    Ashby, Cody ; Huang, Xiuzhen ; Jenness, Jeff ; Kerby, Joseph

  • Author_Institution
    Arkansas State Univ., Jonesboro, AR
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    31
  • Lastpage
    36
  • Abstract
    The relationship between interacting proteins can be represented using graphical network models. Comparison of models of similar protein networks can reveal important information about conserved protein interactions. The problem of determining conserved pathways between protein interaction networks are challenging and for large protein interaction networks are very computationally intensive. This paper developed and implemented a new relational approach for pathway analysis between protein interaction networks. Compared with the current known approaches, this relational approach is very computationally efficient.
  • Keywords
    biology computing; molecular biophysics; proteins; conserved protein interactions; graphical network models; pathway analysis; protein networks; relational approach; Biochemistry; Bioinformatics; Biological system modeling; Cellular networks; Color; Computer networks; Gene expression; Organisms; Protein engineering; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Computational Sciences, 2008. IMSCCS '08. International Multisymposiums on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3430-5
  • Type

    conf

  • DOI
    10.1109/IMSCCS.2008.27
  • Filename
    4760293