KEGG: integrating viruses and cellular organisms

被引:2472
作者
Kanehisa, Minoru [1 ]
Furumichi, Miho [1 ]
Sato, Yoko [2 ]
Ishiguro-Watanabe, Mari [3 ]
Tanabe, Mao [1 ]
机构
[1] Kyoto Univ, Inst Chem Res, Uji, Kyoto 6110011, Japan
[2] Fujitsu Kyushu Syst Ltd, Social ICT Solut Dept, Hakata Ku, Fukuoka 8120007, Japan
[3] Univ Tokyo, Human Genome Ctr, Inst Med Sci, Minato Ku, Tokyo 1088639, Japan
基金
日本科学技术振兴机构;
关键词
TAXONOMY;
D O I
10.1093/nar/gkaa970
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
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.
引用
收藏
页码:D545 / D551
页数:7
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