Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8418412 | Journal of Immunological Methods | 2012 | 7 Pages |
Abstract
Here we present an immunoinformatics pipeline for the identification of miHAs. The pipeline can be applied to large-scale miHA screening, for example, in the development of diagnostic tests. Another interesting application is the design of personalized miHA-based cancer therapies based on patient-donor pair-specific miHAs detected by this pipeline. The suggested method covers various aspects of genetic variant detection, effects of alternative transcripts, and HLA-peptide binding. A comparison of our computational pipeline and experimentally derived datasets shows excellent agreement and coverage of the computationally predicted miHAs.
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Authors
Magdalena Feldhahn, Pierre Dönnes, Benjamin Schubert, Karin Schilbach, Hans-Georg Rammensee, Oliver Kohlbacher,