Fr. 179.00

Protein-protein Interactions and Networks - Identification, Computer Analysis, and Prediction

English · Paperback / Softback

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Description

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Integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a global view of the diverse data on protein-protein interactions and protein interaction networks
Protein-protein interactions and networks: identification, analysis and prediction brings together the descriptions of experimental techniques and expounds on different computational algorithms for protein network analysis and prediction of protein and domain interactions
Each chapter contains a description of the problem, a review of methods and algorithms, a list of online resources, conclusions and future directions

Offering broad coverage on the topic, this book will be of interest to researchers from academia and the bioinformatics industry; will also be of use to graduate students studying the topic

List of contents

Experimental Methods for Protein Interaction Identification and Characterization.- Handling Diverse Protein Interaction Data: Integration, Storage and Retrieval.- Principles of Protein Recognition and Properties of Protein-protein Interfaces.- Computational Methods to Predict Protein Interaction Partners.- Protein Interaction Network Based Prediction of Domain-Domain and Domain-Peptide Interactions.- Integrative Structure Determination of Protein Assemblies by Satisfaction of Spatial Restraints.- Topological and Dynamical Properties of Protein Interaction Networks.- From Protein Interaction Networks to Protein Function.- Cross-Species Analysis of Protein-protein Interaction Networks.

Summary

Integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a global view of the diverse data on protein-protein interactions and protein interaction networks

Protein-protein interactions and networks: identification, analysis and prediction brings together the descriptions of experimental techniques and expounds on different computational algorithms for protein network analysis and prediction of protein and domain interactions

Each chapter contains a description of the problem, a review of methods and algorithms, a list of online resources, conclusions and future directions

Offering broad coverage on the topic, this book will be of interest to researchers from academia and the bioinformatics industry; will also be of use to graduate students studying the topic

Additional text

From the reviews:

"This book consists of nine papers, written by diverse authors, each of which discusses specific problems in the area of protein-protein interactions, and different approaches to solving these problems. … offers a high-level overview of computational methods for predicting protein interactions. … This book is geared more toward biologist … ." (D. Bollman, ACM Computing Reviews, January, 2009)

Report

From the reviews:

"This book consists of nine papers, written by diverse authors, each of which discusses specific problems in the area of protein-protein interactions, and different approaches to solving these problems. ... offers a high-level overview of computational methods for predicting protein interactions. ... This book is geared more toward biologist ... ." (D. Bollman, ACM Computing Reviews, January, 2009)

Product details

Assisted by M Przytycka (Editor), M Przytycka (Editor), Ann Panchenko (Editor), Anna Panchenko (Editor), Teresa Przytycka (Editor), Teresa M. Przytycka (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 26.10.2010
 
EAN 9781849967310
ISBN 978-1-84996-731-0
No. of pages 212
Dimensions 170 mm x 11 mm x 244 mm
Weight 362 g
Illustrations VIII, 212 p. 39 illus.
Series Computational Biology
Computational Biology
Subjects Natural sciences, medicine, IT, technology > Biology > Biochemistry, biophysics

B, Life Sciences, computer science, molecular biology, bioinformatics, Biology, life sciences, proteins, Life sciences: general issues, Information technology: general issues, Computational and Systems Biology, Computational Biology/Bioinformatics, Protein Science, Computational biology, Computer Appl. in Life Sciences

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