ArticleProtein science : a publication of the Protein Society2026
KEGG Syntax for comparison of organisms, organism groups, and viruses by conserved gene repertoires.
Article in Protein science : a publication of the Protein Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- The iron paradox and particle size sensing: transcriptomic response ofApplied and environmental microbiology · 2026Article
- Fecal and colonic microbiota differ in composition, function, diagnostic utility and correlation with inflammatory cytokines in ulcerative colitis.Scientific reports · 2026Article
- KEGG Syntax for comparison of organisms, organism groups, and viruses by conserved gene repertoires.Protein science : a publication of the Protein Society · 2026Article
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2 authors.
Funding
Abstract
The KEGG Orthology (KO) system has been used as a basic framework of the KEGG database for linking genes in the genome to pathways and other molecular networks. KOs are manually defined orthologs representing conserved genes with relevance to molecular and higher-level functions. Here, the KO system is used to define genomic features, including the gene content by the composition of KOs and the gene order on the chromosome by the sequence of KOs, and to compare organisms, organism groups and viruses according to the similarity of KO compositions and KO sequences. The compositions of KEGG modules, manually defined functional sets of KOs, and VOGs, computationally derived ortholog groups for viruses, are also used as genomic features. The similarity analysis of organism groups by KO compositions has revealed a close relationship of Bacteria and Archaea, which differs from the three domains of life in evolution, but which is likely to reflect similarity of metabolic and other cellular functions represented by KOs. A collection of tools is named KEGG Syntax (https://www.kegg.jp/kegg/syntax/) and can be used to analyze the user's data as well as the genomes already registered in KEGG.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.