Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2147805.2147916acmconferencesArticle/Chapter ViewAbstractPublication PagesbcbConference Proceedingsconference-collections
research-article

Differentiating party and date hubs in protein interaction networks using semantic similarity measures

Published: 01 August 2011 Publication History

Abstract

Protein-protein interactions are fundamental to the biological processes within a cell. In the scale-free, small-world network typically modeled by protein interaction networks, hubs play a key role in maintaining the network structure. From the biological perspective, hubs are expected to be functionally essential proteins, participating in critical interactions of biological processes. Hubs can be classified into two different categories, party hubs (intra-module hubs) and date hubs (intermodule hubs), which vary in the timing and place of their associations with their interacting partners. This paper introduces a novel measure for identifying and differentiating party and date hubs in a protein interaction network. Our approach is based on the semantic similarity measure integrated with Gene Ontology data. Combined with the centrality measures of degree, betweenness, and closeness, we demonstrate that this measure detects potential party hubs and date hubs that match the confirmed party and date hubs with high accuracy.

References

[1]
Agarwal, S., Deane, C. M., Porter, M. A. and Jones, N. S. Revisiting date and party hubs: novel approaches to role assignment in protein interaction networks. PLoS Computational Biology, 6(6):e1000817, 2010.
[2]
Batada, N. N., Hurst, L. D. and Tyers, M. Evolutionary and physiological importance of hub proteins. PLoS Computational Biology, 2(7):e88, 2006.
[3]
Brandes, U. A faster algorithm for betweenness centrality. Journal of Mathematical Sociology, 25:163--177, 2001.
[4]
Dunn, R., Dudbridge, F. and Sanderson, C. M. The use of edge-betweenness clustering to investigate biological function in protein interaction networks. BMC Bioinformatics, 6, 2005.
[5]
Fraser, H. B. Modularity and evolutionary constraint on proteins. Nature Genetics, 37(4):351--352, 2005.
[6]
Han, J.-D.J., et al. Evidence for dynamically organized modularity in the yeast protein-protein interaction network. Nature, 430:88--93, 2004.
[7]
He, X. and Zhang, J. Why do hubs tend to be essential in protein networks? PLoS Genetics, 2(6):e88, 2006.
[8]
Jiang, J. J. and Conrath, D. W. Semantic similarity based on corpus statistics and lexical taxonomy. In Proceedings of 10th International Conference on Research in Computational Linguistics, 1997.
[9]
Lin, D. An information-theoretic definition of similarity. In Proceedings of 15th International Conference on Machine Learning (ICML), pages 296--304, 1998.
[10]
Mewes, H. W., et al. MIPS: analysis and annotation of genome information in 2007. Nucleic Acids Research, 36:D196--D201, 2008.
[11]
Mistry, M. and Pavlidis, P. Gene Ontology term overlap as a measure of gene functional similarity. BMC Bioinformatics, 9:327, 2008.
[12]
Pesquita, C., Faria, D., Bastos, H., Ferreira, A. E. N., Falcao, A. O. and Couto, F. M. Metrics for GO based protein semantic similarity: a systematic evaluation. BMC Bioinformatics, 9(Suppl 5):S4, 2008.
[13]
Resnik, P. Using information content to evaluate semantic similarity in a taxonomy. In Proceedings of 14th International Joint Conference on Artificial Intelligence, pages 448--453, 1995.
[14]
Stark, C., et al. The BioGRID interaction database: 2011 update. Nucleic Acids Research, 39:D698--D704, 2011.
[15]
Wang, J., Zhou, X., Zhu, J., Zhou, C. and Guo, Z. Revealing and avoiding bias in semantic similarity scores for protein pairs. BMC Bioinformatics, 11:290, 2010.

Cited By

View all
  • (2024)Intrinsic Disorder and Other Malleable Arsenals of Evolved Protein MultifunctionalityJournal of Molecular Evolution10.1007/s00239-024-10196-792:6(669-684)Online publication date: 30-Aug-2024
  • (2018)Exploration of Survival Traits, Probiotic Determinants, Host Interactions, and Functional Evolution of Bifidobacterial Genomes Using Comparative GenomicsGenes10.3390/genes91004779:10(477)Online publication date: 1-Oct-2018
  • (2013)Confirming biological significance of co-occurrence clusters of aligned pattern clusters2013 IEEE International Conference on Bioinformatics and Biomedicine10.1109/BIBM.2013.6732529(422-427)Online publication date: Dec-2013
  1. Differentiating party and date hubs in protein interaction networks using semantic similarity measures

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    BCB '11: Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
    August 2011
    688 pages
    ISBN:9781450307963
    DOI:10.1145/2147805
    • General Chairs:
    • Robert Grossman,
    • Andrey Rzhetsky,
    • Program Chairs:
    • Sun Kim,
    • Wei Wang
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 August 2011

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. gene ontology
    2. hubs
    3. protein interaction network
    4. protein-protein interactions
    5. semantic similarity

    Qualifiers

    • Research-article

    Conference

    BCB' 11
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 254 of 885 submissions, 29%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)13
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 03 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Intrinsic Disorder and Other Malleable Arsenals of Evolved Protein MultifunctionalityJournal of Molecular Evolution10.1007/s00239-024-10196-792:6(669-684)Online publication date: 30-Aug-2024
    • (2018)Exploration of Survival Traits, Probiotic Determinants, Host Interactions, and Functional Evolution of Bifidobacterial Genomes Using Comparative GenomicsGenes10.3390/genes91004779:10(477)Online publication date: 1-Oct-2018
    • (2013)Confirming biological significance of co-occurrence clusters of aligned pattern clusters2013 IEEE International Conference on Bioinformatics and Biomedicine10.1109/BIBM.2013.6732529(422-427)Online publication date: Dec-2013

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media