Book description
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.
MARIO CANNATARO, PhD
, is Associate Professor of Computer Engineering at the Magna Græcia
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 Græcia 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.
