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MHCBench specifications


Unique identifier OMICS_06694
Name MHCBench
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

MHCBench citations


An effective and effecient peptide binding prediction approach for a broad set of HLA DR molecules based on ordered weighted averaging of binding pocket profiles

Proteome Sci
PMCID: 3908610
PMID: 24565049
DOI: 10.1186/1477-5956-11-S1-S15

[…] substitution matrix and the parameters of the gamma pdf are determined by using the same dataset [] as the tepitopepan method. hence these two methods will be compared in a more compatible way., the mhcbench server [] provides eight benchmark datasets to evaluate mhc binding prediction methods. it is a popular benchmark to evaluate the performance of new methods by comparing with previously […]


On Evaluating MHC II Binding Peptide Prediction Methods

PLoS One
PMCID: 2533399
PMID: 18813344
DOI: 10.1371/journal.pone.0003268

[…] peptides, mhcpep-srds3, mhcbn-srds3, and iedb-srds3, derived from the corresponding upds datasets using the similarity reduction procedure introduced by raghava and previously used to construct the mhcbench dataset ., datasets of weighted unique peptides, mhcpep-wupds, mhcbn-wupds, and iedb-wupds, derived from the corresponding upds datasets (where the weight assigned to a peptide is inversely […]


Prediction of MHC class II binding peptides based on an iterative learning model

Immunome Res
PMCID: 1325229
PMID: 16351712
DOI: 10.1186/1745-7580-1-6

[…] important for the iterative learning procedure as only a small number of nonamers is removed from the positive training set at each iteration., this model was evaluated with benchmark datasets from mhcbench against other major existing methods. the computational study demonstrates overall that this method can achieve comparable or superior performance in comparison with the competing […]

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