PepGraphormer: an ESM-GAT hybrid deep learning framework for antimicrobial peptide prediction.
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Trust & Context
- Original Title:
- PepGraphormer: an ESM-GAT hybrid deep learning framework for antimicrobial peptide prediction.
- Published In:
- Journal of cheminformatics, 18(1), 15 (2026)
- Authors:
- Lin, Changhang, Xiong, Shuwen, Li, Jinjin, Cui, Feifei, Zhang, Zilong, Shi, Hua, Wei, Leyi
- Database ID:
- RPEP-15563
Evidence Hierarchy
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Cite This Study
https://rethinkpeptides.com/research/RPEP-15563APA
Lin, Changhang; Xiong, Shuwen; Li, Jinjin; Cui, Feifei; Zhang, Zilong; Shi, Hua; Wei, Leyi. (2026). PepGraphormer: an ESM-GAT hybrid deep learning framework for antimicrobial peptide prediction.. Journal of cheminformatics, 18(1), 15. https://doi.org/10.1186/s13321-025-01144-8
MLA
Lin, Changhang, et al. "PepGraphormer: an ESM-GAT hybrid deep learning framework for antimicrobial peptide prediction.." Journal of cheminformatics, 2026. https://doi.org/10.1186/s13321-025-01144-8
RethinkPeptides
RethinkPeptides Research Database. "PepGraphormer: an ESM-GAT hybrid deep learning framework for..." RPEP-15563. Retrieved from https://rethinkpeptides.com/research/lin-2026-pepgraphormer-an-esmgat-hybrid
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Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.
This study breakdown was produced by the RethinkPeptides research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.