Protein Interaction Networks: Computational Analysis by Aidong ZhangProtein Interaction Networks: Computational Analysis by Aidong Zhang

Protein Interaction Networks: Computational Analysis

byAidong Zhang

Hardcover | April 6, 2009

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The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. 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.
Title:Protein Interaction Networks: Computational AnalysisFormat:HardcoverDimensions:292 pages, 9.96 × 8.46 × 0.83 inPublished:April 6, 2009Publisher:Cambridge University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0521888956

ISBN - 13:9780521888950

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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.

Editorial Reviews

"This book is a comprehensive and an excellent introduction to network biology in general and proteins networks in particular. It provides detailed description of the major computational concepts and their applications in systems biology. It is a must have book for anyone interested in this exciting topic."
Mohammed J. Zaki, Professor of Computer Science, Rensselaer Polytechnic Institute