Assessing the most effective depth for PPI analysis

Jaine K. Blayney, Huiru Zheng, Haiying Wang, Francisco Azuaje

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Protein-protein interaction (PPI) networks are being increasingly used to support functional genomic research. PPI networks can consist of several thousand nodes and sampling is often used to extract meaningful information representative of the global network. However there has been relatively little research carried out on the impact of sampling and significance of depth on such networks. In this study, six PPI networks, three relevant to heart failure, one to asthma, and two consisting of randomly-selected proteins, are analyzed and compared through different network levels. The effect of network depth is examined in terms of network metrics, i.e. degree and betweenness centrality, and on the classification methods for identifying potentially significant nodes, which may represent novel therapeutic targets.

    Original languageEnglish
    Title of host publicationProceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009
    Pages286-292
    Number of pages7
    DOIs
    Publication statusPublished - 2009
    Event2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009 - Shanghai, China
    Duration: 3 Aug 20095 Aug 2009

    Publication series

    NameProceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009

    Conference

    Conference2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009
    Country/TerritoryChina
    CityShanghai
    Period3/08/095/08/09

    Keywords

    • Network depth
    • Network-based drug target novel therapeutic identification
    • Protein interactions

    Fingerprint

    Dive into the research topics of 'Assessing the most effective depth for PPI analysis'. Together they form a unique fingerprint.

    Cite this