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Protein Interaction Networks

Protein Interaction Networks

Protein Interaction Networks

Computational Analysis
Aidong Zhang, State University of New York, Buffalo
May 2009
Adobe eBook Reader
9780511530494
$92.99
USD
Adobe eBook Reader
GBP
Hardback

    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

    Product details

    May 2009
    Adobe eBook Reader
    9780511530494
    0 pages
    0kg
    79 b/w illus. 11 colour illus. 30 tables
    This ISBN is for an eBook version which is distributed on our behalf by a third party.

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