This month’s Genome Watch examines how natural language processing and machine learning are being implemented in the hunt for new antimicrobial peptides.
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References
Hamid, M. N. & Friedberg, I. Identifying antimicrobial peptides using word embedding with deep recurrent neural networks. Bioinformatics 35, 2009–2016 (2019).
Hannigan, G. D. et al. A deep learning genome-mining strategy for biosynthetic gene cluster prediction. Nucleic Acids Res. 47, e110 (2019).
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Tsai, S. T., Kuo, E. J. & Tiwary, P. Learning molecular dynamics with simple language model built upon long short-term memory neural network. Nat. Commun. 11, 5115 (2020).
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Correia, A., Weimann, A. Protein antibiotics: mind your language. Nat Rev Microbiol 19, 7 (2021). https://doi.org/10.1038/s41579-020-00485-5
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DOI: https://doi.org/10.1038/s41579-020-00485-5
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