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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Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2022-01-01
Series:	BMC Genomics
Assuntos:	Antimicrobial peptide Deep learning Attention mechanism
Acceso en liña:	https://doi.org/10.1186/s12864-022-08310-4
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