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Protein Interaction Networks
Computational Analysis

£59.99

Woo-chang Hwang, Pritam Chanda, Lei Shi, Young-rae Cho
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  • Date Published: June 2009
  • availability: In stock
  • format: Hardback
  • isbn: 9780521888950

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  • The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research.

    • Offers first comprehensive survey of the many computational methods available for the analysis of protein-protein interaction networks
    • Includes information on the most cutting-edge research and state of the art approaches in the field
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    Product details

    • Date Published: June 2009
    • format: Hardback
    • isbn: 9780521888950
    • length: 292 pages
    • dimensions: 260 x 180 x 21 mm
    • weight: 0.75kg
    • contains: 79 b/w illus. 11 colour illus. 30 tables
    • availability: In stock
  • Table of Contents

    1. Introduction
    2. Experimental approaches to generation of protein-protein interaction data
    3. Computational methods for the prediction of protein-protein interactions
    4. Basic properties and measurements of protein interaction networks
    5. Modularity analysis of protein interaction networks
    6. Topological analysis of protein interaction networks Woo-chang Hwang
    7. Distance-based modularity analysis
    8. Graph-theoretic approaches to modularity analysis
    9. Flow-based analysis of protein interaction networks
    10. Statistics and machine learning based analysis of protein interaction networks Pritam Chanda and Lei Shi
    11. Integration of gene ontology into the analysis of protein interaction networks Young-rae Cho
    12. Data fusion in the analysis of protein interaction networks
    13. Conclusion.

  • Author

    Aidong Zhang, State University of New York, Buffalo
    Dr Aidong Zhang is a professor in the Department of Computer Science and Engineering at the State University of New York at Buffalo and the director of the Buffalo Center for Biomedical Computing (BCBC). She is an author of more than 190 research publications and has served on the editorial boards of the International Journal of Bioinformatics Research and Applications (IJBRA), ACM Multimedia Systems, the International Journal of Multimedia Tools and Applications, the International Journal of Distributed and Parallel Databases, and ACM SIGMOD DiSC (Digital Symposium Collection). Dr Zhang is a recipient of the National Science Foundation CAREER Award and SUNY (State University of New York) Chancellor's Research Recognition Award.

    Contributors

    Woo-chang Hwang, Pritam Chanda, Lei Shi, Young-rae Cho

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