Archaeasins as a promising resource for developing next-generation antibiotics uncovered via deep learning.

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Main Authors: Du, Huan, Liu, Yang
Format: Artículo científico
Language:en
Published: Engineering microbiology 2025
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author Du, Huan
Liu, Yang
author_facet Du, Huan
Liu, Yang
Du, Huan
Liu, Yang
collection PubMed - marine biology
contents Archaeasins as a promising resource for developing next-generation antibiotics uncovered via deep learning. Du, Huan Liu, Yang Fighting against antibiotic resistance has an unexpected ally, archaea. Despite the extensive exploration of antimicrobial peptides in bacteria and eukaryotes, the archaeal domain has been overlooked. A recent study employed deep learning to screen archaeasins. The synthesized versions showed a 93 % success rate against pathogens by depolarizing the cytoplasmic membrane, not the outer membrane. This highlights the promise and deep learning power of archaea for antibiotic discovery and the culture of uncultured archaea.
format Artículo científico
id pubmed_41982661
institution PubMed
language en
publishDate 2025
publisher Engineering microbiology
record_format pubmed
spellingShingle Archaeasins as a promising resource for developing next-generation antibiotics uncovered via deep learning.
Du, Huan
Liu, Yang
Archaeasins as a promising resource for developing next-generation antibiotics uncovered via deep learning. Du, Huan Liu, Yang Fighting against antibiotic resistance has an unexpected ally, archaea. Despite the extensive exploration of antimicrobial peptides in bacteria and eukaryotes, the archaeal domain has been overlooked. A recent study employed deep learning to screen archaeasins. The synthesized versions showed a 93 % success rate against pathogens by depolarizing the cytoplasmic membrane, not the outer membrane. This highlights the promise and deep learning power of archaea for antibiotic discovery and the culture of uncultured archaea.
title Archaeasins as a promising resource for developing next-generation antibiotics uncovered via deep learning.
url https://pubmed.ncbi.nlm.nih.gov/41982661/