… those peptides presented by MHC molecules, prediction of peptides that can bind to MHC
molecules is … Peptides binding to MHC molecules must fit into a specific chemical and physical …

… prediction method depends on the amount of available data (the number of peptides of known
binding affinity to the MHC molecule of … intended purpose of the prediction (screening of a …

… peptide binding predictions across different MHC molecules with respect to the training set
size should be approached with caution. For MHC molecules with only a few known peptide …

… MHC-peptide binding. Many models and methods have been developed to predict peptide
binding to MHC molecules… QMs for predicting peptide binding to MHC molecules have also …

… state-of-the-art methods, that have allowed for accurate predictions of peptide binding of all
MHC molecules, even including those that have not yet been characterized experimentally. …

… Therefore, prediction of peptides that can bind to MHC molecules is important for … for MHC
class I [6]. In this article, we will focus on prediction of peptide binding to MHCI molecules. …

… of peptide binding affinity with structural features of 266 PePSSI-predicted peptide structures,
… when bound to a class I MHC molecule, and here we have examined peptide binding to …

… of external predictions in all cases. For example, some methods such as syfpeithi do not
aim to specifically predict peptide binding to MHC molecules, but rather naturally processed …

… MHC molecules. The binding of the peptide to MHC is the most selective step, so predicting
the binding affinity of the peptide to MHC is the principal step in predicting T cell epitopes. …

… Second, we generate peptides that have high probabilities to bind to a certain MHC
molecule, based on our proposed method using peptides binding to MHC molecules as a set of …