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MHC2Pred specifications


Unique identifier OMICS_06693
Name MHC2Pred
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

Publication for MHC2Pred

MHC2Pred citations


A Brief Review of Computer Assisted Approaches to Rational Design of Peptide Vaccines

Int J Mol Sci
PMCID: 4881492
PMID: 27153063
DOI: 10.3390/ijms17050666

[…] ell epitopes and was tested for high-affinity HLA class II peptide binding. It was found to compare well with several other web-accessible methods for HLA class II peptide-binding prediction, such as MHC2PRED (support vector machine based method for prediction of promiscuous MHC class II binding peptides).Oany et al. [] investigated a computational approach for the design of peptide vaccines again […]


Immunoinformatics and epitope prediction in the age of genomic medicine

Genome Med
PMCID: 4654883
PMID: 26589500
DOI: 10.1186/s13073-015-0245-0

[…] ors. Another PSSM approach is netMHCII/SMM-align [], which was updated to use ANNs in 2009 []. Other HLA class II epitope predictors are ProPred [], RANKPED [], TEPITOPE [], SVRMHC [], MHC2MIL [] and MHC2pred.All of these tools have some predictors for the HLA-DR locus. netMHCII, RANKPED and MHC2MIL also provide predictions for HLA-DQ and DP. In general, the coverage of the DQ and DP loci is lower […]


Machine Learning Methods for Predicting HLA–Peptide Binding Activity

Bioinform Biol Insights
PMCID: 4603527
PMID: 26512199
DOI: 10.4137/BBI.S29466

[…] As, while for Class II HLAs, the result comes from nine models including several PSSM-based models and machine learning models. Three machine learning models (QSAR regression-based MHCPRED, SVM-based MHC2PRED and SVR-based SVRMHC) were utilized by IEDB for HLA–peptide binding prediction. When predicting a HLA–peptide binding, not every model is able to return a value. However, if three or more mod […]


A Novel Transport Mechanism for MOMP in Chlamydophila pneumoniae and Its Putative Role in Immune Therapy

PLoS One
PMCID: 3634821
PMID: 23637791
DOI: 10.1371/journal.pone.0061139

[…] redicted using immuno-informatics prediction servers. Each 15-mer peptide was submitted to the following servers, using default parameters: NetMHC IIpan , SMM align , NN align , Sturnolio , RANKPEP , MHC2PRED (, PROPRED , and SVMHC and analysed to derive a consensus nonamer for the binding core. […]


The evolutionary significance of certain amino acid substitutions and their consequences for HIV 1 immunogenicity toward HLA's A*0201 and B*27

PMCID: 3607191
PMID: 23745018
DOI: 10.6026/97320630009315

[…] cting virally important immunogenic epitopes. Algorithms have been developed to predict immunogenic peptides restricted to both MHC Class I and II. MHC Class I and II in silico tools include ProPred, MHC2PRED, RANKPEP, SVMHC, MHCPred, and MHC-BPS, SYFPEITHI, BIMAS, IEDB_ANN, EpiJen, Rankpep, HLApred, NetCTL and Multipred, among others. These algorithms have been shown to be useful in identifying b […]


MHC Class II Binding Prediction—A Little Help from a Friend

PMCID: 2875769
PMID: 20508817
DOI: 10.1155/2010/705821
call_split See protocol

[…] nts for each amino acid at each peptide position. The IEDB-SMM align method [] is based on an integrated alignment and motif identification algorithm and predicts directly peptide binding affinities. MHC2Pred [] is a SVM-based prediction server. EpiTOP [] is a newly developed method for MHC class II binding prediction based on proteochemometrics []. It is a matrix-based method which considers both […]

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MHC2Pred institution(s)
Institute of Microbial Technology, Chandigarh, India

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