» Articles » PMID: 36300620

KEGG for Taxonomy-based Analysis of Pathways and Genomes

Overview
Specialty Biochemistry
Date 2022 Oct 27
PMID 36300620
Authors
Affiliations
Soon will be listed here.
Abstract

KEGG (https://www.kegg.jp) is a manually curated database resource integrating various biological objects categorized into systems, genomic, chemical and health information. Each object (database entry) is identified by the KEGG identifier (kid), which generally takes the form of a prefix followed by a five-digit number, and can be retrieved by appending /entry/kid in the URL. The KEGG pathway map viewer, the Brite hierarchy viewer and the newly released KEGG genome browser can be launched by appending /pathway/kid, /brite/kid and /genome/kid, respectively, in the URL. Together with an improved annotation procedure for KO (KEGG Orthology) assignment, an increasing number of eukaryotic genomes have been included in KEGG for better representation of organisms in the taxonomic tree. Multiple taxonomy files are generated for classification of KEGG organisms and viruses, and the Brite hierarchy viewer is used for taxonomy mapping, a variant of Brite mapping in the new KEGG Mapper suite. The taxonomy mapping enables analysis of, for example, how functional links of genes in the pathway and physical links of genes on the chromosome are conserved among organism groups.

Citing Articles

LINC02363: a potential biomarker for early diagnosis and treatment of sepsis.

Leng L, Wang H, Hu Y, Hu L BMC Immunol. 2025; 26(1):23.

PMID: 40089725 DOI: 10.1186/s12865-025-00702-x.


Activation of PI3K-AKT pathway prevents steroid-induced osteonecrosis of the femoral head via inhibiting Cuproptosis.

Gao S, Zhu H, Chen H, Lu H, Wen M, Fan Y Sci Rep. 2025; 15(1):8950.

PMID: 40089548 DOI: 10.1038/s41598-025-93555-8.


Pan-cancer bioinformatics analysis of TIPRL in human tumors.

Zhang X, Xue H, Lv Y, Zhou Y, Sha K, Liu T Discov Oncol. 2025; 16(1):320.

PMID: 40088344 DOI: 10.1007/s12672-025-02070-9.


Identification biomarkers and therapeutic targets of disulfidptosis-related in rheumatoid arthritis via bioinformatics, molecular dynamics simulation, and experimental validation.

Xu B, Zhang H, Shen B, Wu J, Shi M, Li X Sci Rep. 2025; 15(1):8779.

PMID: 40082645 PMC: 11906621. DOI: 10.1038/s41598-025-93656-4.


Identification of candidate biomarkers correlated with the pathogenesis of breast cancer patients.

Yu S, Wang C, Ouyang J, Luo T, Zeng F, Zhang Y Sci Rep. 2025; 15(1):8770.

PMID: 40082607 PMC: 11906855. DOI: 10.1038/s41598-025-93208-w.


References
1.
Kanehisa M, Sato Y, Kawashima M . KEGG mapping tools for uncovering hidden features in biological data. Protein Sci. 2021; 31(1):47-53. PMC: 8740838. DOI: 10.1002/pro.4172. View

2.
Federhen S . The NCBI Taxonomy database. Nucleic Acids Res. 2011; 40(Database issue):D136-43. PMC: 3245000. DOI: 10.1093/nar/gkr1178. View

3.
Sayers E, Bolton E, Brister J, Canese K, Chan J, Comeau D . Database resources of the national center for biotechnology information. Nucleic Acids Res. 2021; 50(D1):D20-D26. PMC: 8728269. DOI: 10.1093/nar/gkab1112. View

4.
Kanehisa M, Furumichi M, Sato Y, Ishiguro-Watanabe M, Tanabe M . KEGG: integrating viruses and cellular organisms. Nucleic Acids Res. 2020; 49(D1):D545-D551. PMC: 7779016. DOI: 10.1093/nar/gkaa970. View

5.
Kanehisa M . Toward understanding the origin and evolution of cellular organisms. Protein Sci. 2019; 28(11):1947-1951. PMC: 6798127. DOI: 10.1002/pro.3715. View