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KEGG: biological systems database as a model of the real world

Open access
Kanehisa, Minoru, Furumichi, Miho, Sato, Yoko, Matsuura, Yuriko, Ishiguro-Watanabe, Mari·2025·Nucleic Acids Research

Abstract

KEGG (https://www.kegg.jp/) is a database resource for representation and analysis of biological systems. Pathway maps are the primary dataset in KEGG representing systemic functions of the cell and the organism in terms of molecular interaction and reaction networks. The KEGG Orthology (KO) system is a mechanism for linking genes and proteins to pathway maps and other molecular networks. Each KO is a generic gene identifier and each pathway map is created as a network of KO nodes. This architecture enables KEGG pathway mapping to uncover systemic features from KO assigned genomes and metagenomes. Additional roles of KOs include characterization of conserved genes and conserved units of genes in organism groups, which can be done by taxonomy mapping. A new tool has been developed for identifying conserved gene orders in chromosomes, in which gene orders are treated as sequences of KOs. Furthermore, a new dataset called VOG (virus ortholog group) is computationally generated from virus proteins and expanded to proteins of cellular organisms, allowing gene orders to be compared as VOG sequences as well. Together with these datasets and analysis tools, new types of pathway maps are being developed to present a global view of biological processes involving multiple organism groups.

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Metadata

Authors
Kanehisa, M., Furumichi, M., Sato, Y., Matsuura, Y., & Ishiguro-Watanabe, M.
Venue
Nucleic Acids Research
Published
2024-10-17
Volume
53
Issue
D1
Pages
D672-D677
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4403479110
Cited by
2,543
References
2
FWCI
295.46
Type
journal article
Language
en
Open access
gold

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