Abstract

Abstract KEGG (https://www.kegg.jp/) is a manually curated resource integrating eighteen databases categorized into systems, genomic, chemical and health information. It also provides KEGG mapping tools, which enable understanding of cellular and organism-level functions from genome sequences and other molecular datasets. KEGG mapping is a predictive method of reconstructing molecular network systems from molecular building blocks based on the concept of functional orthologs. Since the introduction of the KEGG NETWORK database, various diseases have been associated with network variants, which are perturbed molecular networks caused by human gene variants, viruses, other pathogens and environmental factors. The network variation maps are created as aligned sets of related networks showing, for example, how different viruses inhibit or activate specific cellular signaling pathways. The KEGG pathway maps are now integrated with network variation maps in the NETWORK database, as well as with conserved functional units of KEGG modules and reaction modules in the MODULE database. The KO database for functional orthologs continues to be improved and virus KOs are being expanded for better understanding of virus-cell interactions and for enabling prediction of viral perturbations.

Keywords

BiologyComputational biologyKEGGEvolutionary biologyGeneticsGeneTranscriptomeGene expression

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Publication Info

Year
2020
Type
article
Volume
49
Issue
D1
Pages
D545-D551
Citations
4309
Access
Closed

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Minoru Kanehisa, Miho Furumichi, Yoko Sato et al. (2020). KEGG: integrating viruses and cellular organisms. Nucleic Acids Research , 49 (D1) , D545-D551. https://doi.org/10.1093/nar/gkaa970

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DOI
10.1093/nar/gkaa970