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. 2010 Jan;38(Database issue):D355-60.
doi: 10.1093/nar/gkp896. Epub 2009 Oct 30.

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

Minoru Kanehisa  1 , Susumu Goto, Miho Furumichi, Mao Tanabe, Mika Hirakawa
Affiliations

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

Minoru Kanehisa et al. Nucleic Acids Res. 2010 Jan.

Abstract

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.

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Figures

Figure 1.
Figure 1.
Knowledge representation of systemic functions in the forms of (a) pathway map; (b) simple list; and (c) hierarchical list. Examples shown here are: (a) KEGG PATHWAY entry (hsa05220) for chronic myeloid leukemia, KEGG DISEASE entry (H00004) for chronic myeloid leukemia and KEGG BRITE entry (br08402) for a classification of human diseases.
Figure 2.
Figure 2.
KEGG accumulates knowledge about the networks of chemical structure transformations for linking genomes to chemical structures.
See this image and copyright information in PMC

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References

    1. International HapMap Consortium. The International HapMap Project. Nature. 2003;426:789–796. - PubMed
    1. Hirschhorn JN, Daly MJ. Genome-wide association studies for common diseases and complex traits. Nat. Rev. Genet. 2005;6:95–108. - PubMed
    1. Stratton MR, Campbell PJ, Futreal PA. The cancer genome. Nature. 2009;458:719–724. - PMC - PubMed
    1. Kanehisa M. A database for post-genome analysis. Trends Genet. 1997;13:375–376. - PubMed
    1. Amberger J, Bocchini CA, Scott AF, Hamosh A. McKusick’s Online Mendelian Inheritance in Man (OMIM) Nucleic Acids Res. 2009;37:D793–D796. - PMC - PubMed

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