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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,...
Autores principales: | Visani, Gian Marco, Hughes, Michael C, Hassoun, Soha |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
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 |
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