Predicting TCR-epitope recognition: How good are we?
Accurate TCR-epitope interaction predictions have the potential to unlock the use of TCR repertoires for diagnostics, TCR discovery, and cross-reactivity predictions. In this issue of Cell Genomics, Drost et al.<sup>1</sup> developed a streamlined framework for benchmarking such predictions. Careful understanding of the strengths and limitations of existing approaches will be instrumental to improve them and expand the scope of TCR-epitope recognition predictions.
Authors
- David Gfeller (ORCID: https://orcid.org/0000-0002-3952-0930)
Institutions
- Swiss Cancer Center Léman (CH)
Publication Details
- Journal
- Cell Genomics
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1016/j.xgen.2025.100975
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung