• DocumentCode
    3564788
  • Title

    Characterization of Nested Complexes in Protein Interaction Networks

  • Author

    Zaki, Nazar ; Mora, Antonio

  • Author_Institution
    Coll. of Inf. Technol., United Arab Emirates Univ., Al Ain, United Arab Emirates
  • fYear
    2014
  • Firstpage
    48
  • Lastpage
    54
  • Abstract
    This paper provides a novel characterization of nested complexes in protein interaction networks, stressing definition and representation issues, quantification, biological validation, network metrics, motifs, modularity and gene ontology (GO) terms. This characterization can be used in the design of a nested protein complex prediction algorithm. We introduce the "nested group" concept as a way to represent nested complexes. We also show that enrichment in essential proteins, GO terms related to regulation, imperfect 5-clique motifs, as well as higher GO homogeneity, can be used to identify proteins in nested complexes. Supplementary materials, data and programs are available at http://faculty.uaeu.ac.ae/nzaki/Research.htm.
  • Keywords
    bioinformatics; data analysis; genetics; proteins; GO terms; biological validation; definition issues; gene ontology terms; imperfect 5-clique motifs; modularity terms; motifs; nested complexes characterization; nested group concept; network metrics; protein interaction networks; quantification; representation issues; Cancer; Communities; Indexes; Prediction algorithms; Proteins; Protein-protein interaction networks; essential proteins; gene ontology; nested complexes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematics and Computers in Sciences and in Industry (MCSI), 2014 International Conference on
  • Print_ISBN
    978-1-4799-4744-7
  • Type

    conf

  • DOI
    10.1109/MCSI.2014.17
  • Filename
    7046160