KEGG

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KEGG PATHWAY Database records networks of molecular interactions in the cells, and variants of them specific to particular organisms.

Introduction

The KEGG database was initiated by the Japanese human genome programme in 1995 and is part of the Kyoto Encyclopedia of Genes and Genomes. According to the developers they consider KEGG to be a "computer representation" of the biological system[1]. The KEGG database can be utilized for modeling and simulation, browsing and retrieval of data. It is a part of the systems biology approach.

KEGG maintains four main databases

  • KEGG Pathway
  • KEGG Genes
  • KEGG Ligand
  • KEGG BRITE

Databases

KEGG connects known information on molecular interaction networks, such as pathways and complexes (this is the Pathway Database), information about genes and proteins generated by genome projects (including the gene database) and information about biochemical compounds and reactions (including compound and reaction databases). These databases are different networks, known as the protein network, the gene universe and the chemical universe respectively. There are efforts in progress to add to the knowledge of KEGG, including information regarding ortholog clusters in the KO (KEGG Orthology) database. [1]

KEGG Pathways:

  • Metabolism
  • Genetic Information Processing
  • Environmental Information Processing
  • Cellular Processes
  • Human Diseases
  • Drug Development

Ligand Database:

  • Compound
  • Drug
  • Glycan
  • Reaction
  • RPAIR
  • Enzyme

References

External links

Template:Bioinformatics-stubit:KEGG PATHWAY Database ja:KEGG



Acknowledgement and Attribution Regarding Sources of Content

Some of the initial content on this page may be incorporated in part from copyleft sources in the public domain including wikis such as Wikipedia and AskDrWiki. Drug information for patients came from the The National Library of Medicine. Infectious disease information may have come from the Centers for Disease Control (CDC). Differential Diagnoses are drawn from clinicians as well as an amalgamation of 3 sources: 1.The Disease Database; 2. Kahan, Scott, Smith, Ellen G. In A Page: Signs and Symptoms. Malden, Massachusetts: Blackwell Publishing, 2004:3; 3. Sailer, Christian, Wasner, Susanne. Differential Diagnosis Pocket. Hermosa Beach, CA: Borm Bruckmeir Publishing LLC, 2002:7 .

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