English  |  正體中文  |  简体中文  |  Items with full text/Total items : 93288/109022 (86%)
Visitors : 626561      Online Users : 255
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8173

    Title: Hierarchical structure of the protein-protein interaction networks
    Authors: K.L. Ng;P.H. Lee;C.H. Huang;J.F. Fang;H.W. Hsiao;Jeffery J.P. Tsai
    Contributors: Department of Bioinformatics
    Date: 2006-02
    Issue Date: 2010-03-19 16:25:15 (UTC+8)
    Publisher: Asia University
    Abstract: We employed the random graph theory approach to analyze data for seven species in the
    protein-protein interaction database DIP. Several global topological parameters were used
    to characterize the protein-protein interaction networks (PINs) for each species. The plots
    of the logarithm of the node degree cumulative distribution Pcum(k) vs. the logarithm of
    node degree k indicates that PINs follow the power law (Pcum(k) k? ). Good evidence by
    correlation analysis supports the fact that the seven PINs are well approximated by scale-free
    networks. We found that the logarithm of Cave(k) scales with k (i.e. Cave(k) k? ) for
    E. coli and yeast. In particular, we determine that the E. coli and the yeast PINs are well
    represented by the stochastic and deterministic hierarchical network models, respectively.
    These results suggest that the hierarchical network model is a good description for certain
    species’ PINs, but this may not be a universal feature across different species.
    Relation: Chinese Journal of Physics 44(1): 67-77
    Appears in Collections:[生物資訊與醫學工程學系 ] 期刊論文

    Files in This Item:

    File Description SizeFormat
    310904400-8173.doc35KbMicrosoft Word183View/Open

    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback