title: The validity of predicted T-cell epitopes.
abstract: High-performing MHC class I binding predictions have been available for more than a decade; however, their value in terms of actual epitope finding has only now been estimated in a large-scale investigation undertaken by the group of Sette. This work underlines the importance of bioinformatics as a resource-saving tool in the field of epitope discovery. In addition, the data can be used to benchmark the performance of other new or existing CTL epitope-prediction tools.
authors.affiliation: Center for Biological Sequence Analysis, BioCentrum, Building 208, Technical University of Denmark, 2800 Lyngby, Denmark. lunde@cbs.dtu.dk
authors.forename: Claus
authors.initials: C
authors.lastname: Lundegaard
authors.forename: Morten
authors.initials: M
authors.lastname: Nielsen
authors.forename: Ole
authors.initials: O
authors.lastname: Lund
mesh_terms: D000465:Algorithms; D000818:Animals; D018414:CD8-Positive T-Lymphocytes / Q000276:immunology*; D019295:Computational Biology / Q000379:methods*; D018604:Epitope Mapping / Q000379:methods*; D018984:Epitopes, T-Lymphocyte / Q000276:immunology*; D051379:Mice; D008810:Mice, Inbred C57BL; D015203:Reproducibility of Results; D014616:Vaccinia virus / Q000276:immunology*
chemical_list: D018984:Epitopes, T-Lymphocyte