Management and analysis of protein-to-protein interaction data

  • Authors:
  • Mario Cannataro;Pietro Hiram Guzzi

  • Affiliations:
  • Department of Experimental Medicine and Clinic, University Magna Græcia of Catanzaro, Italy;Department of Experimental Medicine and Clinic, University Magna Græcia of Catanzaro, Italy

  • Venue:
  • CIBB'10 Proceedings of the 7th international conference on Computational intelligence methods for bioinformatics and biostatistics
  • Year:
  • 2010

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Abstract

This paper introduces technologies, standards and databases for generating, representing and storing Protein-to-Protein Interaction (PPI) data. Emerging algorithms for the analysis, comparison and knowledge extraction from Protein-to-Protein Interaction Networks (PINs) are also presented. Finally, the paper presents a methodology for the ontology-based analysis of Protein-to-Protein Interaction data by discussing a real case study.