Predicting MHC-I ligands across alleles and species: how far can we go?
Our work provides a valuable tool for predicting antigen presentation across all human and mouse MHC-I alleles. MixMHCpred3.0 tool is available at https://github.com/GfellerLab/MixMHCpred .
Authors
- Daniel M. Tadros (ORCID: https://orcid.org/0000-0002-1271-6941)
- David Gfeller (ORCID: https://orcid.org/0000-0002-3952-0930)
- Julien Racle (ORCID: https://orcid.org/0000-0002-0100-0323)
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- Ludwig Cancer Research (CH)
- Swiss Cancer Center Léman (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- Genome Medicine
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1186/s13073-025-01450-8
- Citations
- 13
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 10.48
Funders
- Université de Lausanne
- Swiss Cancer Research Foundation