Current PPI databases do not offer sophisticated querying interfaces and especially do not integrate existing information about proteins. Current algorithms for PIN analysis use only topological information, while emerging approaches attempt to exploit the biological knowledge related to proteins and kinds of interaction, e.g. protein function, localization, structure, described in Gene Ontology or PDB. The book discusses technologies, standards and databases for, respectively, generating, representing and storing PPI data. It also describes main algorithms and tools for the analysis, comparison and knowledge extraction from PINs. Moreover, some case studies and applications of PINs are also discussed.
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MARIO CANNATARO, PhD, is Associate Professor of Computer Engineering at the Magna Gręcia University of Catanzaro. His research explores bioinformatics, computational proteomics and genomics, medical informatics, grid and parallel computing, and adaptive web systems. Dr. Cannataro has published three books and more than 150 papers in international journals and conference proceedings.
PIETRO HIRAM GUZZI, PhD, is Assistant Professor of Computer Engineering at the Magna Gręcia University of Catanzaro. His research focuses on the analysis of protein interaction networks and the use of biological knowledge encoded in ontologies for modeling, querying, and analyzing protein interaction networks.
Interactomics: a complete survey from data generation to knowledge extraction
With the increasing use of high-throughput experimental assays, more and more protein interaction databases are becoming available. As a result, computational analysis of protein-to-protein interaction (PPI) data and networks, now known as interactomics, has become an essential tool to determine functionally associated proteins. From wet lab technologies to data management to knowledge extraction, this timely book guides readers through the new science of interactomics, giving them the tools needed to:
Generate and store PPI data
Analyze PPI data and networks
Develop useful applications
The authors have organized the book according to the workflow of interactomics, beginning with data generation and ending with knowledge extraction. Readers will discover how to make full use of all the databases, tools, and techniques currently available for exploiting interactomics data. They'll learn a broad range of approaches for the management and analysis of protein interaction data, including topological-, database-, data mining-, and ontology-based methods. The fundamental principles underlying each of these methods are presented in detail, alongside their advantages and disadvantages.
Throughout the book, case studies enable readers to discover how interactomics enables researchers to generate, represent, store, analyze, and manage PPI data and networks. Moreover, the authors discuss new and emerging applications developed from interactomics research.
Data Management of Protein Interaction Networks is recommended for all bioinformaticians and protein researchers who want to take full advantage of interactomics software tools and methods in order to enhance their knowledge of biological processes.
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