KEGG for representation and analysis of molecular networks involving diseases and drugs

被引:1755
作者
Kanehisa, Minoru [1 ,2 ]
Goto, Susumu [1 ]
Furumichi, Miho [1 ,3 ]
Tanabe, Mao [1 ,3 ]
Hirakawa, Mika [1 ,3 ]
机构
[1] Kyoto Univ, Inst Chem Res, Bioinformat Ctr, Kyoto 6110011, Japan
[2] Univ Tokyo, Inst Med Sci, Ctr Human Genome, Minato Ku, Tokyo 1088639, Japan
[3] Japan Sci & Technol Agcy, Inst Bioinformat Res & Dev, Chiyoda Ku, Tokyo 1028666, Japan
基金
日本科学技术振兴机构;
关键词
EUKARYOTIC GENOMES; PATTERNS;
D O I
10.1093/nar/gkp896
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Most human diseases are complex multi-factorial diseases resulting from the combination of various genetic and environmental factors. In the KEGG database resource (http://www.genome.jp/kegg/), diseases are viewed as perturbed states of the molecular system, and drugs as perturbants to the molecular system. Disease information is computerized in two forms: pathway maps and gene/molecule lists. The KEGG PATHWAY database contains pathway maps for the molecular systems in both normal and perturbed states. In the KEGG DISEASE database, each disease is represented by a list of known disease genes, any known environmental factors at the molecular level, diagnostic markers and therapeutic drugs, which may reflect the underlying molecular system. The KEGG DRUG database contains chemical structures and/or chemical components of all drugs in Japan, including crude drugs and TCM (Traditional Chinese Medicine) formulas, and drugs in the USA and Europe. This database also captures knowledge about two types of molecular networks: the interaction network with target molecules, metabolizing enzymes, other drugs, etc. and the chemical structure transformation network in the history of drug development. The new disease/drug information resource named KEGG MEDICUS can be used as a reference knowledge base for computational analysis of molecular networks, especially, by integrating large-scale experimental datasets.
引用
收藏
页码:D355 / D360
页数:6
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