EnzChemRED, a rich enzyme chemistry relation extraction dataset

Abstract Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new discoveries and new publications. In this work we present EnzChemRED, for Enzyme Chemistry Relation Extraction Dataset,...

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Hauptverfasser:	Po-Ting Lai, Elisabeth Coudert, Lucila Aimo, Kristian Axelsen, Lionel Breuza, Edouard de Castro, Marc Feuermann, Anne Morgat, Lucille Pourcel, Ivo Pedruzzi, Sylvain Poux, Nicole Redaschi, Catherine Rivoire, Anastasia Sveshnikova, Chih-Hsuan Wei, Robert Leaman, Ling Luo, Zhiyong Lu, Alan Bridge
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2024-09-01
Schriftenreihe:	Scientific Data
Online-Zugang:	https://doi.org/10.1038/s41597-024-03835-7
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EnzChemRED, a rich enzyme chemistry relation extraction dataset

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