Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.
Social ICT Solutions Department, Fujitsu Kyushu Systems Ltd., Hakata-ku, Fukuoka 812-0007, Japan.
Nucleic Acids Res. 2021 Jan 8;49(D1):D545-D551. doi: 10.1093/nar/gkaa970.
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.
KEGG(https://www.kegg.jp/)是一个人工整理的资源,整合了十八个数据库,分为系统、基因组、化学和健康信息。它还提供 KEGG 映射工具,使人们能够从基因组序列和其他分子数据集理解细胞和生物体水平的功能。KEGG 映射是一种基于功能同源物概念,从分子构建块预测重建分子网络系统的方法。自 KEGG NETWORK 数据库推出以来,各种疾病与网络变体相关联,网络变体是由人类基因突变、病毒、其他病原体和环境因素引起的扰动分子网络。网络变异图创建为对齐的相关网络集合,例如,不同的病毒如何抑制或激活特定的细胞信号通路。KEGG 途径图现在与 NETWORK 数据库中的网络变异图以及 MODULE 数据库中的 KEGG 模块和反应模块的保守功能单元集成在一起。用于功能同源物的 KO 数据库不断得到改进,病毒 KO 也在不断扩展,以便更好地理解病毒-细胞相互作用,并能够预测病毒扰动。