Статья

KEGG for linking genomes to life and the environment

Minoru KanehisaBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, JapanMichihiro ArakiBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, 2 Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639 and 3 Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, Chiyoda-ku, Tokyo 102-8666, JapanSusumu GotoBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, 2 Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639 and 3 Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, Chiyoda-ku, Tokyo 102-8666, JapanMasahiro HattoriBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, 2 Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639 and 3 Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, Chiyoda-ku, Tokyo 102-8666, JapanMika HirakawaBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, 2 Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639 and 3 Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, Chiyoda-ku, Tokyo 102-8666, JapanMasumi ItohBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, 2 Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639 and 3 Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, Chiyoda-ku, Tokyo 102-8666, JapanTsutomu KatayamaBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, 2 Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639 and 3 Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, Chiyoda-ku, Tokyo 102-8666, JapanShuichi KawashimaBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, 2 Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639 and 3 Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, Chiyoda-ku, Tokyo 102-8666, JapanShujiro OkudaBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, 2 Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639 and 3 Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, Chiyoda-ku, Tokyo 102-8666, JapanToshiaki TokimatsuBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, 2 Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639 and 3 Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, Chiyoda-ku, Tokyo 102-8666, JapanYoshihiro YamanishiBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, 2 Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639 and 3 Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, Chiyoda-ku, Tokyo 102-8666, Japan

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Аннотация

KEGG (http://www.genome.jp/kegg/) is a database of biological systems that integrates genomic, chemical and systemic functional information. KEGG provides a reference knowledge base for linking genomes to life through the process of PATHWAY mapping, which is to map, for example, a genomic or transcriptomic content of genes to KEGG reference pathways to infer systemic behaviors of the cell or the organism. In addition, KEGG provides a reference knowledge base for linking genomes to the environment, such as for the analysis of drug-target relationships, through the process of BRITE mapping. KEGG BRITE is an ontology database representing functional hierarchies of various biological objects, including molecules, cells, organisms, diseases and drugs, as well as relationships among them. KEGG PATHWAY is now supplemented with a new global map of metabolic pathways, which is essentially a combined map of about 120 existing pathway maps. In addition, smaller pathway modules are defined and stored in KEGG MODULE that also contains other functional units and complexes. The KEGG resource is being expanded to suit the needs for practical applications. KEGG DRUG contains all approved drugs in the US and Japan, and KEGG DISEASE is a new database linking disease genes, pathways, drugs and diagnostic markers.

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Идентификаторы

DOI: 10.1093/nar/gkm882

Цитирования и источники

Цитирований: 3Использованных источников: 0

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