MultiRTA: A simple yet reliable method for predicting peptide binding affinities for multiple class II MHC allotypes

AJ Bordner, HD Mittelmann - BMC bioinformatics, 2010 - Springer
… The scores for all possible peptide binding registers were calculated and either the maximum
value or sum were used as the final peptide binding score… of similarity between the peptide

High-throughput modeling and scoring of TCR-pMHC complexes to predict cross-reactive peptides

T Borrman, BG Pierce, T Vreven, BM Baker… - …, 2020 - academic.oup.com
… 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 …

[HTML][HTML] Uncovering the peptide-binding specificities of HLA-C: a general strategy to determine the specificity of any MHC class I molecule

M Rasmussen, M Harndahl, A Stryhn… - The Journal of …, 2014 - journals.aai.org
… random natural 9-mer peptides, we extracted the 1% highest scoring peptides for each of the
34… Similar to the MHCcluster approach described above, we extracted the 1% top predicted …

Ranking-based convolutional neural network models for peptide-MHC class I binding prediction

Z Chen, MR Min, X Ning - Frontiers in molecular biosciences, 2021 - frontiersin.org
… 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 …

A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction

S Mei, F Li, A Leier, TT Marquez-Lago… - Briefings in …, 2020 - academic.oup.com
… 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 …

Degenerate T-cell recognition of peptides on MHC molecules creates large holes in the T-cell repertoire

JJA Calis, RJ De Boer, C Keşmir - PLoS computational biology, 2012 - journals.plos.org
… What would happen if a nonself peptide is so similar to a self peptide that it … peptide similarity
score”-method, ie nonself peptides with a similarity score exceeding 0.85 with a self peptide

NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

A Montemurro, V Schuster, HR Povlsen… - Communications …, 2021 - nature.com
… (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 …

Enhancing TCR specificity predictions by combined pan-and peptide-specific training, loss-scaling, and sequence similarity integration

MF Jensen, M Nielsen - Elife, 2024 - elifesciences.org
… response is the recognition of peptides presented by MHC (Major … the extreme variety of
peptides presented by the MHC, the … of the negative prediction scores for the given peptide for all …

Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification

M Andreatta, E Karosiene, M Rasmussen, A Stryhn… - Immunogenetics, 2015 - Springer
… produces a reliability score for the optimal register of each predicted binder as part of its
prediction. For the 51 peptide-MHCs in Tables 1 and 2, sorted by reliability scores, we observe …

An analysis of natural T cell responses to predicted tumor neoepitopes

AM Bjerregaard, M Nielsen, V Jurtz, CM Barra… - Frontiers in …, 2017 - frontiersin.org
… Thus, the final dataset included 1,948 peptide-MHC … the average similarity between a set
of 9-mer peptide pairs with … by a lower self-similarity score compared to IB neoepitopes (P = …