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Protein Interaction Networks

Details

  • 79 b/w illus. 11 colour illus. 30 tables
  • Page extent: 292 pages
  • Size: 253 x 215 mm
  • Weight: 0.75 kg

Hardback

 (ISBN-13: 9780521888950)

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

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

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