Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Database issue
pubmed:dateCreated
2009-12-22
pubmed:abstractText
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.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-14685227, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-15716906, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-16381885, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-17516640, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-17910766, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-17921532, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-18077471, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-18836194, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-18842627, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-18927115, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-19327755, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-19360079, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-19391632, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-9287494, http://linkedlifedata.com/resource/pubmed/commentcorrection/19880382-9397687
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1362-4962
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
38
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
D355-60
pubmed:dateRevised
2010-9-27
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
KEGG for representation and analysis of molecular networks involving diseases and drugs.
pubmed:affiliation
Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan. kanehisa@kuicr.kyoto-u.ac.jp
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't