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. 2002 Jan 1;30(1):42-6.
doi: 10.1093/nar/30.1.42.

The KEGG databases at GenomeNet

Affiliations

The KEGG databases at GenomeNet

Minoru Kanehisa et al. Nucleic Acids Res. .

Abstract

The Kyoto Encyclopedia of Genes and Genomes (KEGG) is the primary database resource of the Japanese GenomeNet service (http://www.genome.ad.jp/) for understanding higher order functional meanings and utilities of the cell or the organism from its genome information. KEGG consists of the PATHWAY database for the computerized knowledge on molecular interaction networks such as pathways and complexes, the GENES database for the information about genes and proteins generated by genome sequencing projects, and the LIGAND database for the information about chemical compounds and chemical reactions that are relevant to cellular processes. In addition to these three main databases, limited amounts of experimental data for microarray gene expression profiles and yeast two-hybrid systems are stored in the EXPRESSION and BRITE databases, respectively. Furthermore, a new database, named SSDB, is available for exploring the universe of all protein coding genes in the complete genomes and for identifying functional links and ortholog groups. The data objects in the KEGG databases are all represented as graphs and various computational methods are developed to detect graph features that can be related to biological functions. For example, the correlated clusters are graph similarities which can be used to predict a set of genes coding for a pathway or a complex, as summarized in the ortholog group tables, and the cliques in the SSDB graph are used to annotate genes. The KEGG databases are updated daily and made freely available (http://www.genome.ad.jp/kegg/).

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Figures

Figure 1
Figure 1
(A) Definition of SSDB graph features. Circles represent protein sequences, and the features around a given sequence (shaded) are shown. Arrows indicates the relationship between the query sequence and the best-hit sequence (see text). (B) By incorporating positional coupling of genes in the genome, SSDB can be used to identify conserved gene clusters, which can then be used to create or modify an ortholog group table. Note that the KEGG ortholog group table represents an additional feature, namely functional coupling of gene products in the pathway or complex.

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