Detection of antimicrobial peptides from fecal samples of FMT donors using deep learning
This study demonstrates the feasibility of discovering functional AMPs from the human fecal microbiome using computational and experimental approaches, highlights the potential of mining novel AMPs from the fecal microbiome, and provides new insights into the therapeutic mechanisms of FMT.
Authors
- Yulang Chi (ORCID: https://orcid.org/0000-0002-0443-5189)
- Bangzhou Zhang (ORCID: https://orcid.org/0000-0003-4291-7514)
- Wei Xu (ORCID: https://orcid.org/0000-0002-6370-7930)
- Lishan Zhang (ORCID: https://orcid.org/0000-0002-3264-5036)
- Kai Qian (ORCID: https://orcid.org/0000-0002-5091-8632)
- Xinliang Hu
- Huifang Yin
- Shuangyu Wei (ORCID: https://orcid.org/0009-0009-0723-0005)
Institutions
- Quanzhou Normal University (CN)
- Xiamen University (CN)
- Yichun University (CN)
- Xiamen Nanyang University (CN)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2025-10-14
- DOI
- https://doi.org/10.3389/fvets.2025.1689589
- Primary Topic
- Antimicrobial Peptides and Activities
- Type
- article
- Field-Weighted Citation Impact
- 0.00