… 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 …

… peptide can be generated for a given MHC allele, based on experimental binding data of large
ensembles of sequence variants. Peptide candidates can be assigned scores by … a similar …

… base, SRDS1; sequence similarity reduced UPDS data excluding peptides sharing 9 mer …
The score of a 9 mer peptide was calculated using the conventional feed-forward algorithm. …

… In this study, physicochemical property scores (DPPS) of amino acids, involving hydrophobicity,
steric properties, electronic properties and hydrogen bond properties, were proposed to …

… to the prediction of MHC–peptide binding was motivated by … of peptide–MHC complexes
the peptides adopt a very similar … peptide score is simply the sum of scores over all the peptide’…

… very similar (ie have binding pockets that are similar to other … the binding core of peptides
bound to MHC class II molecules… nonamer peptides, we assign a normalized binding score, S …

… peptide-MHC binding affinities using these models. Benchmarked percentile scores are …
We took an approach similar to the iterative self-consistent (ISC) strategy described earlier […

… of TCRs with MHC peptide ligands can be highly flexible, so that many different peptides are
… We call this the Z-index score due to its similarity to statistical Z ratios of means divided by …

… The immunogenicity class with the highest similarity score was assigned to the test peptide.
If there are multiple peptides with the same score, voting strategy is applied. Otherwise, if two …

… MHC binding peptides. Here, we demonstrate that identification of the cognate target of a TCR
from a set of p:MHC … a similar predicted binding score as the epitope to the corresponding …