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

We uncovered the global prevalence of AMPs in Lactobacillaceae and proved that Lactobacillaceae is an untapped and invaluable source of novel AMPs to combat the antibiotic-resistance crisis. Meanwhile, we provided a machine learning-guided framework for AMP discovery, offering a scalable roadmap for identifying novel AMPs not only in Lactobacillaceae but also in other organisms. Video Abstract.

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Publication Details

Journal
Microbiome
Published
2025-06-21
DOI
https://doi.org/10.1186/s40168-025-02145-3
Citations
3
Primary Topic
Probiotics and Fermented Foods
Type
article
Field-Weighted Citation Impact
3.49

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article

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

Qun Wu, Yongguang Huang, Zhen Li, Fei Han et al.
3 citations
Microbiome
Probiotics and Fermented Foods
3.49
article

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

Qun Wu, Yongguang Huang, Zhen Li, Fei Han, Yan Xu, Rubing Du, Jing Yu
article en
3 citations

Abstract

We uncovered the global prevalence of AMPs in Lactobacillaceae and proved that Lactobacillaceae is an untapped and invaluable source of novel AMPs to combat the antibiotic-resistance crisis. Meanwhile, we provided a machine learning-guided framework for AMP discovery, offering a scalable roadmap for identifying novel AMPs not only in Lactobacillaceae but also in other organisms. Video Abstract.

MicrobiomeVol. 13(1)
Jiangnan University (CN), Nanjing Normal University (CN), Guizhou University (CN)
National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions
Zero hunger
Openalex Percentile: Top 8%
Probiotics and Fermented Foods
3.49
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Uncovering encrypted antimicrobial peptides in health-associated Lactobacillaceae by large-scale genomics and machine learning — Qun Wu, Yongguang Huang, et al. · Microbiome (2025) | TGRS Research Map | TGRS