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KEGG: integrating viruses and cellular organisms
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 molec...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779016/ https://www.ncbi.nlm.nih.gov/pubmed/33125081 http://dx.doi.org/10.1093/nar/gkaa970 |
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author | Kanehisa, Minoru Furumichi, Miho Sato, Yoko Ishiguro-Watanabe, Mari Tanabe, Mao |
author_facet | Kanehisa, Minoru Furumichi, Miho Sato, Yoko Ishiguro-Watanabe, Mari Tanabe, Mao |
author_sort | Kanehisa, Minoru |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7779016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77790162021-01-07 KEGG: integrating viruses and cellular organisms Kanehisa, Minoru Furumichi, Miho Sato, Yoko Ishiguro-Watanabe, Mari Tanabe, Mao Nucleic Acids Res Database Issue 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. Oxford University Press 2020-10-30 /pmc/articles/PMC7779016/ /pubmed/33125081 http://dx.doi.org/10.1093/nar/gkaa970 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Kanehisa, Minoru Furumichi, Miho Sato, Yoko Ishiguro-Watanabe, Mari Tanabe, Mao KEGG: integrating viruses and cellular organisms |
title | KEGG: integrating viruses and cellular organisms |
title_full | KEGG: integrating viruses and cellular organisms |
title_fullStr | KEGG: integrating viruses and cellular organisms |
title_full_unstemmed | KEGG: integrating viruses and cellular organisms |
title_short | KEGG: integrating viruses and cellular organisms |
title_sort | kegg: integrating viruses and cellular organisms |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779016/ https://www.ncbi.nlm.nih.gov/pubmed/33125081 http://dx.doi.org/10.1093/nar/gkaa970 |
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