Protein Interaction Networks: Computational Analysis

Protein Interaction Networks: Computational Analysis

by Aidong Zhang
     
 

ISBN-10: 0521888956

ISBN-13: 9780521888950

Pub. Date: 03/31/2009

Publisher: Cambridge University Press

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

Overview

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.

Product Details

ISBN-13:
9780521888950
Publisher:
Cambridge University Press
Publication date:
03/31/2009
Edition description:
New Edition
Pages:
292
Product dimensions:
7.00(w) x 10.10(h) x 0.90(d)

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.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >