• DocumentCode
    445832
  • Title

    Predicting protein-protein interactions based on protein-domain relationships

  • Author

    Wang, Bing ; Huang, De-Shuang ; Chen, Peng ; Zhu, Yunping ; Li, Yixue

  • Author_Institution
    Hefei Inst. of Intelligent Machines, Chinese Acad. of Sci., Hefei, China
  • Volume
    1
  • fYear
    2005
  • fDate
    31 July-4 Aug. 2005
  • Firstpage
    316
  • Abstract
    This paper proposes a new method that can predict the interactions between proteins intermediated by the protein-domain relations. We utilize the lazy expectation maximization (LEM) to compute an improved maximization likelihood estimation (MLE) model. The protein-domain relationships are extruded from Flam database and the combined data set of Uetz and Ito are used as the source of protein-protein interactions. Finally, the efficiency and the effectiveness of our proposed approach can be validated by a better performance such as the sensitivity of 80.1%, the specificity of 43.5%, and the lesser computational cost.
  • Keywords
    biology; expectation-maximisation algorithm; proteins; Flam database; lazy expectation maximization; maximization likelihood estimation model; protein-domain relationship; protein-protein interaction; Automation; Bioinformatics; Biological system modeling; Biology computing; Computational efficiency; Databases; Indium tin oxide; Machine intelligence; Maximum likelihood estimation; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-9048-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.2005.1555849
  • Filename
    1555849