Development of a method for detecting functional modules by analyzing co-occurrences of metadata in protein


  • Completed
  • DICP Tool Prototype Trial for Integrated Database Analysis
  • Projects funded in FY 2013

Name and affiliation of Research Director

FUJII Satoshi

Assistant Professor, Department of Bioscience and Bioinformatics, Kyushu Institute of Technology

Outline of R&D

The many kind of databases were published and open-accessed. It becomes important problem how we integrate the information from the databases and extract truly useful information. In this study, in order to detect the functional modules, I analyze an accumulation of co-occurrences between each of the metadata, which is annotated information in protein. In this time, I analyze the co-occurrences only on functional domains and motifs of proteins. The co-occurrences are detected by three definitions: 1) a pair of metadata (domains or motifs) that exist in the neighborhood in 3D protein structure, 2) a pair of metadata that present in a high frequency in all proteins and 3) a pair of metadata that match both 1) and 2). The results are summarized in a database and are published as a web-based tool.

Main database(s) subject to research and development

  • PDBnet

Period of research and development

September 2013 to January 2014

DocumentsOnly in Japanese

Presentation documents


EvaluationOnly in Japanese

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