TRain: T-cell receptor automated immunoinformatics
We introduced an open-source tool that streamlines going from full TCR sequence information to predicted 3D TCRpMHC complexes, using well-established tools. Analyzing these predicted complexes can provide deeper insights into the binding properties of TCRs, and can help shed light on one of the key steps in adaptive immune responses.
Authors
- Liisa K. Selin (ORCID: https://orcid.org/0000-0002-6993-4333)
- Ryan Ehrlich
- Dario Ghersi (ORCID: https://orcid.org/0000-0002-0630-0843)
- Austin Seamann (ORCID: https://orcid.org/0000-0002-6824-0428)
- Anna Gil (ORCID: https://orcid.org/0000-0002-2043-6122)
- Maia Bennett-Boehm
Institutions
- University of Nebraska at Omaha (US)
- University of Massachusetts Chan Medical School (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1186/s12859-025-06074-8
- Citations
- 2
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- National Institutes of Health