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Journal article

Explainable artificial intelligence evolves antimicrobial peptides

Abstract

An explainable deep learning model enables the identification and virtual optimization of antimicrobial peptides (AMPs) from the oral microbiome, yielding novel AMPs with activity against ESKAPE pathogens and demonstrating efficacy in a mouse wound infection model.

Authors

Alexander J; Liu G; Stokes JM

Journal

Nature Microbiology, Vol. 10, No. 2, pp. 267–269

Publisher

Springer Nature

Publication Date

February 1, 2025

DOI

10.1038/s41564-024-01919-z

ISSN

2058-5276

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