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AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens

Abstract Background Antibiotic resistance is a growing global health concern prompting researchers to seek alternatives to conventional antibiotics. Antimicrobial peptides (AMPs) are attracting attention again as therapeutic agents with promising utility in this domain, and using in silico methods t...

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Hlavní autoři: Chenkai Li, Darcy Sutherland, S. Austin Hammond, Chen Yang, Figali Taho, Lauren Bergman, Simon Houston, René L. Warren, Titus Wong, Linda M. N. Hoang, Caroline E. Cameron, Caren C. Helbing, Inanc Birol
Médium: Artigo
Jazyk:Inglês
Vydáno: BMC 2022-01-01
Edice:BMC Genomics
Témata:
Antimicrobial peptide
Deep learning
Attention mechanism
On-line přístup:https://doi.org/10.1186/s12864-022-08310-4
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