Data Management of Protein Interaction Networks

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.Content:
Chapter 1 Interactomics (pages 1–11):
Chapter 2 Technologies for Discovering Protein Interactions (pages 13–19):
Chapter 3 Graph Theory and Applications (pages 21–31):
Chapter 4 Protein?To?Protein Interaction Data (pages 33–42):
Chapter 5 Protein?To?Protein Interaction DATABASES (pages 43–70):
Chapter 6 Models for Protein Interaction Networks (pages 71–77):
Chapter 7 Algorithms Analyzing Features of Protein Interaction Networks (pages 79–99):
Chapter 8 Algorithms Comparing Protein Interaction Networks (pages 101–111):
Chapter 9 Ontology?Based Analysis of Protein Interaction Networks (pages 113–123):
Chapter 10 Visualization of Protein Interaction Networks (pages 125–139):
Chapter 11 Case Studies in Biology and Bioinformatics (pages 141–150):
Chapter 12 Future Trends (pages 151–156):