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