• DocumentCode
    589371
  • Title

    From the Topological View to Explain Why False Hub is Not Essential

  • Author

    Dong Yun-Yuan ; Yang Jun ; Liu Qi-Jun ; Wang Zheng-Hua

  • Author_Institution
    Coll. of Comput., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    1
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    81
  • Lastpage
    84
  • Abstract
    Centrality-lethality rule demonstrates that proteins with high degree in the protein-protein interaction (PPI) network are more likely to be essential than those selected by chance. Nevertheless, in PPI network, there are still many proteins with high degree are not essential (false hubs). Comparing the difference between false hubs and essential hubs from topological perspective, such as centrality measures, damage, clustering coefficient and interactions between neighbors, there are distinguishable significant properties of false hubs. False hubs have lower sub graph centrality and less interactions between neighbors, which could explain why they are not essential in some extent.
  • Keywords
    biology computing; graph theory; pattern clustering; proteins; PPI network; centrality measures; centrality-lethality rule; clustering coefficient; damage; essential hub; false hub; protein-protein interaction; subgraph centrality; topological perspective; topological view; Bioinformatics; Correlation; Educational institutions; Genomics; Proteins; Proteomics; centrality measure; clustering coefficient; essential hub; false hub; protein-protein interaction network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.29
  • Filename
    6406880