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Minoru I. Kanehisa, Miho Furumichi, Yoko Sato, Yuriko Matsuura, Mari Ishiguro-Watanabe
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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Kanehisa, M. I., Furumichi, M., Sato, Y., Matsuura, Y., & Ishiguro-Watanabe, M. (2024). KEGG: biological systems database as a model of the real world. Nucleic Acids Research, 53(D1), D672–D677. https://doi.org/10.1093/nar/gkae909
Kanehisa, Minoru I., et al. "KEGG: biological systems database as a model of the real world." Nucleic Acids Research, vol. 53, no. D1, 2024, pp. D672–D677, https://doi.org/10.1093/nar/gkae909.
Kanehisa, Minoru I., Miho Furumichi, Yoko Sato, Yuriko Matsuura, and Mari Ishiguro-Watanabe. "KEGG: biological systems database as a model of the real world." Nucleic Acids Research 53, no. D1 (2024): D672–D677. https://doi.org/10.1093/nar/gkae909.
Kanehisa M. I., Furumichi M., Sato Y. [и др.] KEGG: biological systems database as a model of the real world // Nucleic Acids Research. — 2024. — Vol. 53, № D1. — P. D672–D677. — URL: https://doi.org/10.1093/nar/gkae909
@article{kanehisa2024kegg,
title = {{KEGG: biological systems database as a model of the real world}},
author = {Minoru I. Kanehisa and Miho Furumichi and Yoko Sato and Yuriko Matsuura and Mari Ishiguro-Watanabe},
journal = {Nucleic Acids Research},
year = {2024},
volume = {53},
number = {D1},
pages = {D672--D677},
doi = {10.1093/nar/gkae909},
url = {https://doi.org/10.1093/nar/gkae909}
}TY - JOUR AU - Kanehisa, Minoru I. AU - Furumichi, Miho AU - Sato, Yoko AU - Matsuura, Yuriko AU - Ishiguro-Watanabe, Mari TI - KEGG: biological systems database as a model of the real world JO - Nucleic Acids Research VL - 53 IS - D1 SP - D672 EP - D677 PY - 2024 DA - 2024/10/02 DO - 10.1093/nar/gkae909 UR - https://doi.org/10.1093/nar/gkae909 ER -
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