• DocumentCode
    723894
  • Title

    The reliability of the degree distribution of protein-protein interaction network in different species

  • Author

    Ling Guo ; Huan Pan ; Xiaohong Nian ; Zhitong Bing

  • Author_Institution
    Coll. of Electr. Eng., Northwest Univ. for Nat., Lanzhou, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    645
  • Lastpage
    648
  • Abstract
    Protein-protein interaction (PPI) networks play a vital role in living cells. The possible error and bias in collecting protein-protein interaction network data are mainly factors to influence the reliability of the degree distribution of PPI networks. In this study, three factors including the false positive interaction of the PPI experiments, the different annotating of a protein in different protein databases, and the data newly added in the protein databases are considered as Important influence factors to investigate the degree distribution of PPI networks. The results show that in the present data, the stretched-exponential distribution is the best one for describing the degree distribution of PPI networks and it is robust to these factors.
  • Keywords
    bioinformatics; cellular biophysics; molecular biophysics; proteins; PPI network degree distribution; degree distribution reliability; false positive interaction; living cells; protein databases; protein-protein interaction network data; stretched-exponential distribution; Databases; Maximum likelihood estimation; Organisms; Proteins; Radio frequency; Reliability; Protein-protein interaction; power-law; protein interaction networks; stretched-exponential distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161910
  • Filename
    7161910