KEGG: integrating viruses and cellular organisms

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  • Minoru Kanehisa
    Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan
  • Miho Furumichi
    Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan
  • Yoko Sato
    Social ICT Solutions Department, Fujitsu Kyushu Systems Ltd., Hakata-ku, Fukuoka 812-0007, Japan
  • Mari Ishiguro-Watanabe
    Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639, Japan
  • Mao Tanabe
    Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan

Description

<jats:title>Abstract</jats:title> <jats:p>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.</jats:p>

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