2003
DOI: 10.1093/nar/gkg510
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MHCPred: a server for quantitative prediction of peptide-MHC binding

Abstract: Accurate T-cell epitope prediction is a principal objective of computational vaccinology. As a service to the immunology and vaccinology communities at large, we have implemented, as a server on the World Wide Web, a partial least squares-based multivariate statistical approach to the quantitative prediction of peptide binding to major histocom- patibility complexes (MHC), the key checkpoint on the antigen presentation pathway within adaptive cellular immunity. MHCPred implements robust statistical models for … Show more

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Cited by 232 publications
(144 citation statements)
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“…Therefore it would be useful to predict the MHC-presented peptides generated or destroyed by a given protease, such as CatS. The kinetic constants we determined for substrates with a distinct amino acid composition could be advantageous in predicting cleavage sites from the primary sequence of an antigen protein and could help to improve software for antigenic peptide prediction (35)(36)(37).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore it would be useful to predict the MHC-presented peptides generated or destroyed by a given protease, such as CatS. The kinetic constants we determined for substrates with a distinct amino acid composition could be advantageous in predicting cleavage sites from the primary sequence of an antigen protein and could help to improve software for antigenic peptide prediction (35)(36)(37).…”
Section: Discussionmentioning
confidence: 99%
“…We evaluated a list of candidate peptides from lupus autoantigens that were previously identified in the literature (18)(19)(20) or identified as potential I-E k binders using an epitope prediction program (21) (Table S1). The peptide U1-70 131-150, hereinafter designated "U1-70," and the peptide U1-70 131-150 (P140), which is phosphorylated on serine residue 140, hereinafter "P140," demonstrated binding to I-E k in a competition assay with a moth cytochrome c (MCC) peptide (88-103), which binds I-E k (22) (Fig.…”
Section: Significancementioning
confidence: 99%
“…Binding of peptides to human leukocyte antigen (HLA)-A*0201 was predicted using 4 publicly available algorithms: ''BIMAS,'' ''LPpep,'' ''MHCPred'' and ''SYFPEITHI.'' [21][22][23][24] The peptides were ranked for each algorithm and sorted by a cumulative score. HLA-A*0201 peptide binding assay were conducted as described previously.…”
Section: Peptides and Peptide Predictionmentioning
confidence: 99%