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The KEGG database.

Minoru Kanehisa1

  • 1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.

Novartis Foundation Symposium
|January 24, 2003
PubMed
Summary
This summary is machine-generated.

KEGG is a comprehensive database for understanding cellular functions from genome data. It integrates protein networks and chemical reactions, aiding functional genomics and proteomics research.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • KEGG (Kyoto Encyclopedia of Genes and Genomes) is a vital resource for biological data analysis.
  • It integrates genomic information with knowledge of cellular processes.
  • Understanding higher-order cellular functions requires comprehensive data integration.

Purpose of the Study:

  • To review the current status of the KEGG database.
  • To report on new developments in graph representation and computations within KEGG.
  • To highlight KEGG's utility in functional genomics and proteomics.

Main Methods:

  • KEGG computerizes data on protein interaction networks (PATHWAY) and chemical reactions (LIGAND).
  • It reconstructs protein interaction networks for sequenced genomes (GENES, SSDB).
  • KEGG serves as reference knowledge for functional genomics (EXPRESSION) and proteomics (BRITE) experiments.

Main Results:

  • KEGG provides integrated data on cellular processes and organismal functions.
  • The database facilitates the reconstruction of biological networks.
  • It supports experimental data interpretation in functional genomics and proteomics.

Conclusions:

  • KEGG is an essential tool for systems biology research.
  • Ongoing developments enhance its capabilities in data representation and computation.
  • KEGG significantly advances the understanding of cellular and organismal functions from genomic data.