Updates in Rhea – an expert curated resource of biochemical reactions
By A. Morgat, T. Lombardot, K. Axelsen, L. Aimo, A. Niknejad, Nevila Hyka-Nouspikel, E. Coudert, Monica Pozzato, M. Pagni, S. Moretti and 6 more. 2016
66 citations recorded by the source corpus.
Rhea (http://www.rhea-db.org) is a comprehensive and non-redundant resource of expert-curated biochemical reactions designed for the functional annotation of enzymes and the description of metabolic networks. Rhea describes enzyme-catalyzed reactions covering the IUBMB Enzyme Nomenclature list as well as additional reactions, including spontaneously occurring reactions, using entities from the ChEBI (Chemical Entities of Biological Interest) ontology of small molecules. Here we describe developments in Rhea since our last report in the database issue of Nucleic Acids Research. These include the first implementation of a simple hierarchical classification of reactions, improved coverage of the IUBMB Enzyme Nomenclature list and additional reactions through continuing expert curation, and the development of a new website to serve this improved dataset.
Subfields: Molecular Biology
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In Molecular Biology
- Tunca Dogan
- UniProt Consortium
- Alex Bateman
- Rodrigo Lopez
- Fábio Madeira
- Michele Magrane
- Hongzhan Huang
- Cathy H. Wu
Citations in the corpus
- The Gene Ontology Resource: 20 years and still GOing strong (2018, background): “GO also maintains cross-references between terms and multiple widelyused external resources, including Reactome (21), The Annotated Reactions Database (Rhea) (22), Enzyme Commission (EC; http://www.”
- UniProt: the universal protein knowledgebase in 2021 (2020, methodology): “Rhea (14) uses the chemical ontology ChEBI (Chemical Entities of Biological Interest) (15) to describe reaction participants, their chemical structures and chemical transformations.”
- The Reactome Pathway Knowledgebase (2017, background): “A variety of online resources capture aspects of this information at the level of individual reactions such as Rhea (1) or at the level of reaction sequences spanning various domains of biology such as KEGG (2), MetaCyc (3) or PANTHER (4).”
- MEMOTE for standardized genome-scale metabolic model testing (2020, unknown): “org/ (Morgat et al. 2016) SEED metabolite http://modelseed.”