KEGG: biological systems database as a model of the real world

小桶 生物 基因 计算生物学 基因组 标识符 有机体 模式生物 生物途径 鉴定(生物学) 遗传学 基因本体论 基因表达 计算机科学 生态学 程序设计语言
作者
Minoru Kanehisa,Miho Furumichi,Yoko Sato,Yoshiharu Matsuura,Mari Ishiguro-Watanabe
出处
期刊:Nucleic Acids Research [Oxford University Press]
卷期号:53 (D1): D672-D677 被引量:1793
标识
DOI:10.1093/nar/gkae909
摘要

KEGG (https://www.kegg.jp/) is a database resource for representation and analysis of biological systems. Pathway maps are the primary dataset in KEGG representing systemic functions of the cell and the organism in terms of molecular interaction and reaction networks. The KEGG Orthology (KO) system is a mechanism for linking genes and proteins to pathway maps and other molecular networks. Each KO is a generic gene identifier and each pathway map is created as a network of KO nodes. This architecture enables KEGG pathway mapping to uncover systemic features from KO assigned genomes and metagenomes. Additional roles of KOs include characterization of conserved genes and conserved units of genes in organism groups, which can be done by taxonomy mapping. A new tool has been developed for identifying conserved gene orders in chromosomes, in which gene orders are treated as sequences of KOs. Furthermore, a new dataset called VOG (virus ortholog group) is computationally generated from virus proteins and expanded to proteins of cellular organisms, allowing gene orders to be compared as VOG sequences as well. Together with these datasets and analysis tools, new types of pathway maps are being developed to present a global view of biological processes involving multiple organism groups.
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