(a) Box plots showing the quartile distribution of binding affinity rankings as predicted by NetMHC4 and NetMHCpan4 for MHC-eluted and non-eluted peptides. Grey dashed line indicates predicted binder ranking of top 2%. (b) FDr and FNr values calculated based on top 2% percentile rank cutoff on three MS-derived datasets visualized as heatmap. Similar plots of predicted scores are shown in S4 Fig.</p
Motivation: Numerous in silico methods predicting peptide binding to major histocompatibility comple...
Motivation: Numerous in silico methods predicting peptide binding to major histocompatibility comple...
<p>For each MHC allele, the number of predicted epitopes within a given synthetic peptide is shown o...
Reliability of predicting absolute affinities of strong binding MHC Class I and II epitopes for (a) ...
Multiclass classification performance of MHC class I binding epitope prediction tools: (a) VUS; (b) ...
Multiclass classification performance of MHC-II binding epitope prediction tools: (a) VUS; (b) SPE; ...
Motivation: Computational methods for the prediction of peptide-MHC binding have become an integral ...
A number of machine learning-based predictors have been developed for identifying immunogenic T-cell...
MHC-peptide binding prediction has been widely used for understanding the immune response of individ...
ABSTRACT: Peptides that bind to a given major histo-compatibility complex (MHC) molecule share seque...
Abstract: T cell immune responses are driven by the recognition of peptide antigens (T cell epitopes...
Background: Protein antigens and their specific epitopes are formulation targets for epitope-based v...
BACKGROUND: Protein antigens and their specific epitopes are formulation targets for epitope-based v...
<b>Background</b> Protein antigens and their specific epitopes are formulation target...
Abstract Background Experimental screening of large sets of peptides with respect to their MHC bindi...
Motivation: Numerous in silico methods predicting peptide binding to major histocompatibility comple...
Motivation: Numerous in silico methods predicting peptide binding to major histocompatibility comple...
<p>For each MHC allele, the number of predicted epitopes within a given synthetic peptide is shown o...
Reliability of predicting absolute affinities of strong binding MHC Class I and II epitopes for (a) ...
Multiclass classification performance of MHC class I binding epitope prediction tools: (a) VUS; (b) ...
Multiclass classification performance of MHC-II binding epitope prediction tools: (a) VUS; (b) SPE; ...
Motivation: Computational methods for the prediction of peptide-MHC binding have become an integral ...
A number of machine learning-based predictors have been developed for identifying immunogenic T-cell...
MHC-peptide binding prediction has been widely used for understanding the immune response of individ...
ABSTRACT: Peptides that bind to a given major histo-compatibility complex (MHC) molecule share seque...
Abstract: T cell immune responses are driven by the recognition of peptide antigens (T cell epitopes...
Background: Protein antigens and their specific epitopes are formulation targets for epitope-based v...
BACKGROUND: Protein antigens and their specific epitopes are formulation targets for epitope-based v...
<b>Background</b> Protein antigens and their specific epitopes are formulation target...
Abstract Background Experimental screening of large sets of peptides with respect to their MHC bindi...
Motivation: Numerous in silico methods predicting peptide binding to major histocompatibility comple...
Motivation: Numerous in silico methods predicting peptide binding to major histocompatibility comple...
<p>For each MHC allele, the number of predicted epitopes within a given synthetic peptide is shown o...