AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens.
Journal:
BMC genomics
Published Date:
Jan 25, 2022
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 to discover novel AMPs is a strategy that is gaining interest. Such methods can sift through large volumes of candidate sequences and reduce lab screening costs.