… score distribution derived from a large set of random natural peptides) that have a better
score than the peptide … how the similarity between MHC-presented peptides and the self-…

… using the similarity scores in the matrix. … peptide-MHC binding affinity to score MHC class
I peptide presentation, thereby improving the performance in natural MHC-binding peptides …

… (MHC) molecules. This recognition by the T cell is facilitated by the T-cell Receptor (TCR). This
crucial interaction between TCRs and peptide-MHC … difference in similarity score between …

… Given the different performance between the BLOSUM62 similarity score and ΔG BIND , we
… made by the peptide with the TCR and the MHC using Rosetta’s scoring application with …

… is based on structural scaffolds of MHC II-peptide complexes and statistical scoring functions
(SSFs). The … II sequence similarity was finally implemented in the methods TEPITOPE [14], …

… Given a pair of peptides in two different binding levels, similar to H v , H l requires that if
the difference of their predicted scores is smaller than a margin, this pair of peptides will …

… We saw similar, albeit weaker, trends across different peptide:MHC complexes, perhaps …
epitopes, the correct peptide is ranked first when we average the binding scores of all the TCRs …

… scoring of model quality, concealing details in the peptide … been successfully used in studying
peptide–MHC interactions (55–… with similar peptide binding groove structures have similar …

… on sequence data exist for peptide:MHC (p:MHC) binding predictions. … peptide score (sum
over energy contributed by the peptide to the total score; consists of the the internal peptide …

… RANKPEP [23] predicts the MHC class I-binding peptides using … In NetMHCpan 4.0, the
similarity between two HLA … )$| is the BLOSUM50 similarity score between pseudo-sequences A …