KEGG

KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances. KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.

Overview

KEGG was created by Minoru Kanehisa, Professor at the Institute for Chemical Research, Kyoto University, under the belief that molecular-level information is needed to understand and solve problems in medical, environmental, and food sciences. KEGG maintains the systems information of biological molecules and the functional information of biological systems, such as the cell and the organism, and correlates one with the other.

Databases

KEGG is made up of three main databases: the KEGG GENES, KEGG PATHWAY, and KEGG DRUG.

• KEGG GENES is a collection of gene catalogs for all complete genomes and some partial genomes from both eukaryotes and prokaryotes.

• KEGG PATHWAY is a collection of manually drawn pathway maps representing our knowledge on the molecular interaction and reaction networks.

• KEGG DRUG is a collection of drug information, including chemical structures, target proteins, metabolizing enzymes, and drug interaction.

Applications

KEGG is used in various fields of research. It is a key resource in the field of bioinformatics, providing tools and databases for the analysis of genomes, biological pathways, diseases, drugs, and chemical substances. It is also used in systems biology for modeling and simulation, and in translational research for drug development.

See also

• Bioinformatics
• Systems biology
• Translational research
• Genome
• Biological pathway
• Disease
• Drug
• Chemical substance

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