Uncovering encrypted antimicrobial peptides in health-associated Lactobacillaceae by large-scale genomics and machine learning

Uncovering encrypted antimicrobial peptides in health-associated Lactobacillaceae by large-scale genomics and machine learning

Abstract Background Antimicrobial peptides (AMPs) are well known for their broad-spectrum activity and have shown great promise in addressing the antibiotic-resistant crisis. The Lactobacillaceae family, recognized for its health-promoting effects in humans, represents a valuable source of novel AMP...

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Bibliographic Details
Main Authors: Rubing Du, Fei Han, Zhen Li, Jing Yu, Yan Xu, Yongguang Huang, Qun Wu
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Microbiome
Subjects:
Antibiotic resistance
Antimicrobial peptides
Genome mining
Lactobacillaceae
Machine learning
Online Access:https://doi.org/10.1186/s40168-025-02145-3
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