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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4770

    Title: Modular Structures and Robustness of Protein Networks
    Authors: Jeffrey J. P. Tsai;K.L. Ng;C.H. Huang;P.H. Lee;J.F. Fang
    Keywords: Protein-protein interaction;random graphs;scale-free networks;hierarchical networks;network robustness
    Date: 2006-04
    Issue Date: 2009-12-02 09:04:07 (UTC+8)
    Publisher: Asia University
    Abstract: The topological structures and robustness of the protein-protein interaction networks (PINs) is studied via random graph theory. Several global topological parameters are used to characterize PINs for seven species. Good evidence by correlation analysis support the fact that the seven PINs are well approximated by scale-free networks. It is also found that two of the species' PINs are well described by the hierarchical models. In particular, it is determined 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 better description for certain species' PINs. Furthermore, it is demonstrated that PINs are robust with respective to failure, attack, random rewiring and edge deletion perturbations.
    Relation: International Journal of Artificial Intelligence Tools 15(2):309-321
    Appears in Collections:[生物資訊與醫學工程學系 ] 期刊論文

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