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
"synopsis" may belong to another edition of this title.
The biological interactions of living organisms, and protein-protein interactions in particular, are astonishingly diverse and present numerous challenges to modern biomolecular research because of their complexity. Analysis of patterns and principles governing these interactions has prompted a rapid development of computational methods to identify protein interaction partners and to understand the roles of individual components of protein interaction networks in cell functions.
This book integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a comprehensive global view of the diverse data on protein-protein interactions and protein interaction networks. It brings together the descriptions of experimental techniques and expounds on different computational algorithms for protein network analysis and prediction of protein and domain interactions, with each chapter containing a description of the problem, a review of methods and algorithms, a list of resources and current conclusions.
Features
• Reviews experimental techniques for identification of protein interactions
• Discusses protein interaction databases and methods of integrating data from diverse sources
• Describes computational methods to predict protein and domain interaction partners
• Explores the properties of interaction interfaces and highlights approaches to model the assembly of protein complexes
• Examines the topological and dynamical properties of protein interaction networks and presents the tools for comparative analysis of these networks
Written by leading experts, Protein-protein Interactions and Networks provides a broad, thorough and multidisciplinary coverage of this field. It will be invaluable to researchers from academia and the bioinformatics industry, as well as an excellent auxiliary text for graduate studentsstudying the topic.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 networksProtein-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 directionsOffering 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 204 pp. Englisch. Seller Inventory # 9781849967310
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Taschenbuch. Condition: Neu. Protein-protein Interactions and Networks | Identification, Computer Analysis, and Prediction | Anna Panchenko (u. a.) | Taschenbuch | viii | Englisch | 2010 | Springer | EAN 9781849967310 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 107145434
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 networksProtein-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 interactionsEach chapter contains a description of the problem, a review of methods and algorithms, a list of online resources, conclusions and future directionsOffering 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 topicSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch. Seller Inventory # 9781849967310
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 networksProtein-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 directionsOffering 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. Seller Inventory # 9781849967310