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
Table of Content
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.
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