KEGG: new perspectives on genomes, pathways, diseases and drugs

小桶 基因组 生物 百科全书 计算生物学 基因 数据库 遗传学 计算机科学 基因本体论 基因表达 图书馆学
作者
Minoru Kanehisa,Miho Furumichi,Mao Tanabe,Yoko Sato,Kanae Morishima
出处
期刊:Nucleic Acids Research [Oxford University Press]
卷期号:45 (D1): D353-D361 被引量:7356
标识
DOI:10.1093/nar/gkw1092
摘要

KEGG (http://www.kegg.jp/ or http://www.genome.jp/kegg/) is an encyclopedia of genes and genomes. Assigning functional meanings to genes and genomes both at the molecular and higher levels is the primary objective of the KEGG database project. Molecular-level functions are stored in the KO (KEGG Orthology) database, where each KO is defined as a functional ortholog of genes and proteins. Higher-level functions are represented by networks of molecular interactions, reactions and relations in the forms of KEGG pathway maps, BRITE hierarchies and KEGG modules. In the past the KO database was developed for the purpose of defining nodes of molecular networks, but now the content has been expanded and the quality improved irrespective of whether or not the KOs appear in the three molecular network databases. The newly introduced addendum category of the GENES database is a collection of individual proteins whose functions are experimentally characterized and from which an increasing number of KOs are defined. Furthermore, the DISEASE and DRUG databases have been improved by systematic analysis of drug labels for better integration of diseases and drugs with the KEGG molecular networks. KEGG is moving towards becoming a comprehensive knowledge base for both functional interpretation and practical application of genomic information.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
bkagyin应助nieyaochi采纳,获得10
1秒前
1秒前
还没睡醒发布了新的文献求助10
1秒前
1秒前
Ly发布了新的文献求助10
2秒前
duang完成签到,获得积分10
4秒前
GuMingyang发布了新的文献求助10
5秒前
Zach发布了新的文献求助10
5秒前
6秒前
感动寒珊发布了新的文献求助30
8秒前
9秒前
10秒前
希望天下0贩的0应助念念采纳,获得10
10秒前
动听涔雨完成签到,获得积分10
10秒前
1121发布了新的文献求助10
11秒前
WH完成签到,获得积分20
12秒前
12秒前
勤奋的螺蛳粉完成签到,获得积分10
13秒前
13秒前
wang完成签到,获得积分10
14秒前
田柾国完成签到,获得积分10
14秒前
16秒前
17秒前
17秒前
情怀应助asdf采纳,获得10
17秒前
17秒前
共享精神应助Jasmine采纳,获得10
18秒前
zhang-leo发布了新的文献求助10
18秒前
hahha完成签到,获得积分10
18秒前
量子星尘发布了新的文献求助10
19秒前
隐形曼青应助活力的元风采纳,获得10
19秒前
冉启琳完成签到,获得积分20
19秒前
19秒前
科研通AI6应助WuYiHHH采纳,获得10
19秒前
自信以冬完成签到,获得积分10
20秒前
20秒前
桐桐应助encounter采纳,获得10
21秒前
饱满的夜安完成签到,获得积分10
21秒前
22秒前
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1000
Efficacy of sirolimus in Klippel-Trenaunay syndrome 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5480303
求助须知:如何正确求助?哪些是违规求助? 4581518
关于积分的说明 14380905
捐赠科研通 4510074
什么是DOI,文献DOI怎么找? 2471649
邀请新用户注册赠送积分活动 1458040
关于科研通互助平台的介绍 1431812