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

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 to discov...

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Detalles Bibliográficos
Autores principales: Li, Chenkai, Sutherland, Darcy, Hammond, S. Austin, Yang, Chen, Taho, Figali, Bergman, Lauren, Houston, Simon, Warren, René L., Wong, Titus, Hoang, Linda M. N., Cameron, Caroline E., Helbing, Caren C., Birol, Inanc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788131/
https://www.ncbi.nlm.nih.gov/pubmed/35078402
http://dx.doi.org/10.1186/s12864-022-08310-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788131/
https://www.ncbi.nlm.nih.gov/pubmed/35078402
http://dx.doi.org/10.1186/s12864-022-08310-4

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