Enzyme promiscuity prediction using hierarchy-informed multi-label classification

MOTIVATION: As experimental efforts are costly and time consuming, computational characterization of enzyme capabilities is an attractive alternative. We present and evaluate several machine-learning models to predict which of 983 distinct enzymes, as defined via the Enzyme Commission (EC) numbers,...

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Detalles Bibliográficos
Autores principales: Visani, Gian Marco, Hughes, Michael C, Hassoun, Soha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8337005/
https://www.ncbi.nlm.nih.gov/pubmed/33515234
http://dx.doi.org/10.1093/bioinformatics/btab054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8337005/
https://www.ncbi.nlm.nih.gov/pubmed/33515234
http://dx.doi.org/10.1093/bioinformatics/btab054

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