Poor correspondence between predicted and experimental binding of peptides to class I MHC molecules
MH Andersen, L Tan, I Søndergaard, J Zeuthen… - Tissue …, 2000 - Wiley Online Library
… Based on a comparison with the positive control peptide, a binding score was assigned to …
is expected to be similar to the simple scanning for the presence of peptide anchor residues in …
is expected to be similar to the simple scanning for the presence of peptide anchor residues in …
Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction
Y Han, D Kim - BMC bioinformatics, 2017 - Springer
… peptide-MHC binding prediction. In this study, we demonstrated that DCNN is able to not only
reliably predict peptide-MHC … 9 physicochemical scores out of 11 physicochemical scores …
reliably predict peptide-MHC … 9 physicochemical scores out of 11 physicochemical scores …
Predicting T cell recognition of MHC class I restricted neoepitopes
Z Koşaloğlu-Yalçın, M Lanka, A Frentzen… - …, 2018 - Taylor & Francis
… non-mutant peptide, we calculated the similarity score as previously described. Citation73
Briefly, for two peptides a and b the similarity score is calculated as the BLOSUM score for a …
Briefly, for two peptides a and b the similarity score is calculated as the BLOSUM score for a …
MHCII3D—robust structure based prediction of MHC II binding peptides
… 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], …
(SSFs). The … II sequence similarity was finally implemented in the methods TEPITOPE [14], …
Two MHC class I molecules associated with elite control of immunodeficiency virus replication, Mamu-B* 08 and HLA-B* 2705, bind peptides with sequence similarity
JT Loffredo, J Sidney, AT Bean, DR Beal… - The Journal of …, 2009 - journals.aai.org
… peptides to bind these MHC class I molecules. This analysis revealed that despite minimal
sequence similarity in the peptide-… After synthesizing the 9-mer peptides scoring in the upper …
sequence similarity in the peptide-… After synthesizing the 9-mer peptides scoring in the upper …
MHC2MIL: a novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions
… generating the score matrices. TEPITOPE is the first PSSM method in which the score matrix
… sizes are used to measure the similarity between two peptides. MHC2MIL resorts to multiple …
… sizes are used to measure the similarity between two peptides. MHC2MIL resorts to multiple …
MHCPred: a server for quantitative prediction of peptide–MHC binding
P Guan, IA Doytchinova, C Zygouri… - Nucleic acids …, 2003 - academic.oup.com
… , for it to be recognized by the immune system the peptide–MHC complex … a peptide binding
to an MHC may be recognized by a TCR if it binds better with a pIC 50 >6.3 or some similar …
to an MHC may be recognized by a TCR if it binds better with a pIC 50 >6.3 or some similar …
Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms
… The binding groove in class II MHC is open at both ends, allowing peptides longer than 9-…
peptides to a MHC class II molecule is difficult because of different lengths of binding peptides …
peptides to a MHC class II molecule is difficult because of different lengths of binding peptides …
Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network.
V Brusic, G Rudy, G Honeyman… - Bioinformatics …, 1998 - academic.oup.com
… generation were used to score peptide alignments by assigning a score to each putative …
population of matrices of high similarity, promoting a linear model of peptide alignment. With the …
population of matrices of high similarity, promoting a linear model of peptide alignment. With the …