Publications by authors named "Teresa Batista Neto"

Rhea (https://www.rhea-db.org) is an expert-curated knowledgebase of biochemical reactions based on the chemical ontology ChEBI (Chemical Entities of Biological Interest) (https://www.

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Motivation: To provide high quality computationally tractable enzyme annotation in UniProtKB using Rhea, a comprehensive expert-curated knowledgebase of biochemical reactions which describes reaction participants using the ChEBI (Chemical Entities of Biological Interest) ontology.

Results: We replaced existing textual descriptions of biochemical reactions in UniProtKB with their equivalents from Rhea, which is now the standard for annotation of enzymatic reactions in UniProtKB. We developed improved search and query facilities for the UniProt website, REST API and SPARQL endpoint that leverage the chemical structure data, nomenclature and classification that Rhea and ChEBI provide.

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Synopsis of recent research by authors named "Teresa Batista Neto"

  • - Teresa Batista Neto's research primarily focuses on the development and enhancement of biochemical knowledgebases, with significant contributions to Rhea, an expert-curated resource for biochemical reactions.
  • - Her work includes the integration of Rhea into UniProtKB, which improves enzyme annotation by replacing textual descriptions with standardized data derived from Rhea, thereby improving clarity and accuracy.
  • - Recent findings illustrate how the incorporation of chemical ontologies like ChEBI into knowledgebases enhances computational search and query functionalities, facilitating better access to biochemical data for researchers.