appears_in: []
contact:
  email: kanehisa@kuicr.kyoto-u.ac.jp
  name: Minoru Kanehisa
  orcid: 0000-0001-6123-540X
depends_on: []
deprecated: false
description: KEGG reaction contains our knowledge on the universe of reactions that
  are relevant to life.
example: R00100
example_extras: []
homepage: https://www.genome.jp/kegg/reaction/
keywords:
- chemical structure
- classification
- enzyme
- interaction/pathway
- pathway
- protein
- rna
logo: https://www.genome.jp/Fig/kegg128.gif
mappings:
  biocontext: KEGG.REACTION
  edam: '2608'
  go: KEGG_REACTION
  integbio: nbdc00818
  miriam: kegg.reaction
  n2t: kegg.reaction
  prefixcommons: kegg.reaction
name: KEGG Reaction
namespace_in_lui: false
part_of: kegg
pattern: ^R\d+$
preferred_prefix: kegg.reaction
prefix: kegg.reaction
providers:
- code: bio2rdf
  description: Bio2RDF is an open-source project that uses Semantic Web technologies
    to build and provide the largest network of Linked Data for the Life Sciences.
    Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked
    Data from a diverse set of heterogeneously formatted sources obtained from multiple
    data providers.
  homepage: https://bio2rdf.org
  name: Bio2RDF
  uri_format: http://bio2rdf.org/kegg.reaction:$1
- code: gotenzymes
  contact:
    email: nielsenj@chalmers.se
    name: Jens Nielsen
    orcid: 0000-0002-9955-6003
  description: Contains identifiers for enzyme reactions from GotEnzymes, an interactive
    database of enzyme parameter predictions. Enzyme parameters are essential for
    quantitatively understanding, modelling, and engineering cells. Each identifier
    represents a singular reaction, but the database allows browsing using reactions,
    genes, compounds, organisms, EC codes, and domains.
  homepage: https://metabolicatlas.org/gotenzymes
  publications:
  - doi: 10.1093/nar/gkac831
    pmc: PMC9825421
    pubmed: '36169223'
    title: 'GotEnzymes: an extensive database of enzyme parameter predictions'
    year: 2023
  uri_format: https://metabolicatlas.org/gotenzymes/$1
publications:
- doi: 10.1093/nar/gkac831
  pmc: PMC9825421
  pubmed: '36169223'
  title: 'GotEnzymes: an extensive database of enzyme parameter predictions'
  year: 2023
- doi: 10.1002/0471250953.bi0112s38
  pubmed: '22700311'
  title: Using the KEGG database resource
  year: 2012
- pubmed: '20435670'
- pubmed: '19477985'
- pubmed: '17516640'
- pubmed: '15600352'
- pubmed: '14505407'
references:
- https://github.com/biopragmatics/bioregistry/pull/1656
synonyms:
- KEGG_REACTION
uri_format: https://www.kegg.jp/entry/$1
