Updates in Rhea-a manually curated resource of biochemical reactions.

Détails

Ressource 1Télécharger: BIB_3B11765F5B9F.P001.pdf (1382.01 [Ko])
Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_3B11765F5B9F
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Titre
Updates in Rhea-a manually curated resource of biochemical reactions.
Périodique
Nucleic Acids Research
Auteur(s)
Morgat A., Axelsen K.B., Lombardot T., Alcántara R., Aimo L., Zerara M., Niknejad A., Belda E., Hyka-Nouspikel N., Coudert E., Redaschi N., Bougueleret L., Steinbeck C., Xenarios I., Bridge A.
ISSN
1362-4962 (Electronic)
ISSN-L
0305-1048
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
43
Numéro
Database issue
Pages
D459-D464
Langue
anglais
Résumé
Rhea (http://www.ebi.ac.uk/rhea) is a comprehensive and non-redundant resource of expert-curated biochemical reactions described using species from the ChEBI (Chemical Entities of Biological Interest) ontology of small molecules. Rhea has been designed for the functional annotation of enzymes and the description of genome-scale metabolic networks, providing stoichiometrically balanced enzyme-catalyzed reactions (covering the IUBMB Enzyme Nomenclature list and additional reactions), transport reactions and spontaneously occurring reactions. Rhea reactions are extensively curated with links to source literature and are mapped to other publicly available enzyme and pathway databases such as Reactome, BioCyc, KEGG and UniPathway, through manual curation and computational methods. Here we describe developments in Rhea since our last report in the 2012 database issue of Nucleic Acids Research. These include significant growth in the number of Rhea reactions and the inclusion of reactions involving complex macromolecules such as proteins, nucleic acids and other polymers that lie outside the scope of ChEBI. Together these developments will significantly increase the utility of Rhea as a tool for the description, analysis and reconciliation of genome-scale metabolic models.
Pubmed
Open Access
Oui
Création de la notice
27/02/2015 17:42
Dernière modification de la notice
20/08/2019 13:30
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