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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Biology, life sciences Biochemistry

• Full title: Protein Interaction Networks
• Subtitle: Computational Analysis
• Author: Aidong Zhang
• Language: English
• Binding: Hardback
• Number of pages: 292
• EAN: 9780521888950
• ISBN: 0521888956
• ID: 02049261
• Publisher: Cambridge University Press
• Weight: 71 g
• Dimensions: 260 × 180 × 21 mm
• Date of publishing: 06. April 2009

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