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'''KEGG''' (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with [[genomes]], [[biological pathways]], [[diseases]], [[drugs]], and [[chemical substances]]. KEGG is utilized for [[bioinformatics]] research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.
== KEGG ==
 
[[File:KEGG_database_logo.gif|thumb|right|KEGG Database Logo]]
 
'''KEGG''' (Kyoto Encyclopedia of Genes and Genomes) is a comprehensive database resource for understanding high-level functions and utilities of the biological system, such as the cell, the organism, and the ecosystem, from molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-throughput experimental technologies.


== Overview ==
== Overview ==
KEGG was created by Minoru Kanehisa, Professor at the Institute for Chemical Research, Kyoto University, under the belief that molecular-level information is needed to understand and solve problems in medical, environmental, and food sciences. KEGG maintains the systems information of biological molecules and the functional information of biological systems, such as the cell and the organism, and correlates one with the other.


== Databases ==
KEGG is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances. It is widely used in bioinformatics research and education, particularly in the fields of [[genomics]], [[metabolomics]], and [[systems biology]].
KEGG is made up of three main databases: the KEGG GENES, KEGG PATHWAY, and KEGG DRUG.  


* '''KEGG GENES''' is a collection of gene catalogs for all complete genomes and some partial genomes from both eukaryotes and prokaryotes.
== Components ==


* '''KEGG PATHWAY''' is a collection of manually drawn pathway maps representing our knowledge on the molecular interaction and reaction networks.
KEGG consists of several main databases:


* '''KEGG DRUG''' is a collection of drug information, including chemical structures, target proteins, metabolizing enzymes, and drug interaction.
* '''KEGG PATHWAY''': A collection of manually drawn pathway maps representing molecular interaction and reaction networks.
* '''KEGG GENES''': A database of gene catalogs for all complete genomes.
* '''KEGG ORTHOLOGY (KO)''': A database of ortholog groups for functional annotation.
* '''KEGG COMPOUND''': A database of chemical compounds.
* '''KEGG DRUG''': A database of approved drugs in Japan, the USA, and Europe.
* '''KEGG DISEASE''': A database of human diseases.


== Applications ==
== Applications ==
KEGG is used in various fields of research. It is a key resource in the field of [[bioinformatics]], providing tools and databases for the analysis of genomes, biological pathways, diseases, drugs, and chemical substances. It is also used in [[systems biology]] for modeling and simulation, and in [[translational research]] for drug development.


== See also ==
KEGG is used for:
 
* [[Pathway analysis]]: Understanding the complex biological pathways and networks.
* [[Functional annotation]]: Assigning functions to genes and proteins based on orthology.
* [[Drug discovery]]: Identifying potential drug targets and understanding drug interactions.
* [[Disease research]]: Investigating the molecular basis of diseases.
 
== Access and Tools ==
 
KEGG provides various tools for data analysis and visualization, including:
 
* '''KEGG Mapper''': A suite of tools for mapping and analyzing data in the context of KEGG pathways.
* '''KEGG REST API''': A web service for accessing KEGG data programmatically.
 
== Related pages ==
 
* [[Bioinformatics]]
* [[Bioinformatics]]
* [[Genomics]]
* [[Metabolomics]]
* [[Systems biology]]
* [[Systems biology]]
* [[Translational research]]
* [[Genome]]
* [[Biological pathway]]
* [[Disease]]
* [[Drug]]
* [[Chemical substance]]


[[Category:Bioinformatics databases]]
[[Category:Bioinformatics databases]]
[[Category:Biological databases]]
[[Category:Chemical databases]]
[[Category:Genomics]]
[[Category:Genomics]]
[[Category:Systems biology]]
[[Category:Systems biology]]
[[Category:Translational research]]
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Latest revision as of 03:39, 13 February 2025

KEGG[edit]

File:KEGG database logo.gif
KEGG Database Logo

KEGG (Kyoto Encyclopedia of Genes and Genomes) is a comprehensive database resource for understanding high-level functions and utilities of the biological system, such as the cell, the organism, and the ecosystem, from molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-throughput experimental technologies.

Overview[edit]

KEGG is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances. It is widely used in bioinformatics research and education, particularly in the fields of genomics, metabolomics, and systems biology.

Components[edit]

KEGG consists of several main databases:

  • KEGG PATHWAY: A collection of manually drawn pathway maps representing molecular interaction and reaction networks.
  • KEGG GENES: A database of gene catalogs for all complete genomes.
  • KEGG ORTHOLOGY (KO): A database of ortholog groups for functional annotation.
  • KEGG COMPOUND: A database of chemical compounds.
  • KEGG DRUG: A database of approved drugs in Japan, the USA, and Europe.
  • KEGG DISEASE: A database of human diseases.

Applications[edit]

KEGG is used for:

Access and Tools[edit]

KEGG provides various tools for data analysis and visualization, including:

  • KEGG Mapper: A suite of tools for mapping and analyzing data in the context of KEGG pathways.
  • KEGG REST API: A web service for accessing KEGG data programmatically.

Related pages[edit]