NetMHCpan-4.2: improved prediction of CD8+ epitopes by use of transfer learning and structural features.
Quick Facts
What This Study Found
Key Numbers
How They Did This
Why This Research Matters
What This Study Doesn't Tell Us
Trust & Context
- Original Title:
- NetMHCpan-4.2: improved prediction of CD8+ epitopes by use of transfer learning and structural features.
- Published In:
- Frontiers in immunology, 16, 1616113 (2025)
- Authors:
- Nilsson, Jonas Birkelund, Greenbaum, Jason, Peters, Bjoern(2), Nielsen, Morten
- Database ID:
- RPEP-12795
Evidence Hierarchy
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Cite This Study
https://rethinkpeptides.com/research/RPEP-12795APA
Nilsson, Jonas Birkelund; Greenbaum, Jason; Peters, Bjoern; Nielsen, Morten. (2025). NetMHCpan-4.2: improved prediction of CD8+ epitopes by use of transfer learning and structural features.. Frontiers in immunology, 16, 1616113. https://doi.org/10.3389/fimmu.2025.1616113
MLA
Nilsson, Jonas Birkelund, et al. "NetMHCpan-4.2: improved prediction of CD8+ epitopes by use of transfer learning and structural features.." Frontiers in immunology, 2025. https://doi.org/10.3389/fimmu.2025.1616113
RethinkPeptides
RethinkPeptides Research Database. "NetMHCpan-4.2: improved prediction of CD8+ epitopes by use o..." RPEP-12795. Retrieved from https://rethinkpeptides.com/research/nilsson-2025-netmhcpan42-improved-prediction-of
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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.