ProPred1 / ProPred – Predict MHC Class-I / Class-II Binding Regions in Antigen Sequence

ProPred1 / ProPred

:: DESCRIPTION

The ProPred-I is an on-line service for identifying the MHC Class-I binding regions in antigens. It implements matrices for 47 MHC Class-I alleles, proteasomal and immunoproteasomal models. The main aim of this server is to help users in identifying the promiscuous regions.

The ProPred is an on-line service for identifying the MHC Class-II binding regions in antigens.

::DEVELOPER

ProPred1 / ProPred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation

Singh, H. and Raghava, G. P. S. (2003)
ProPred1: Prediction of promiscuous MHC class-I binding sites
Bioinformatics. 2003 May 22;19(8):1009-14.

Singh,H. and Raghava,G.P.S.(2001)
ProPred: Prediction of HLA-DR binding sites.
Bioinformatics,17(12), 1236-37.

MHC2Pred – SVM based method for MHC class II Binders Prediction

MHC2Pred

:: DESCRIPTION

The MHC2Pred is an SVM based method for prediction of promiscuous MHC class II binding peptides.The average accuracy of SVM based method for 42 alleles is ~80%. The performence of the method was poorer for few allele due to smaller size of dataset. The performence of the method was tested through 5-fold cross-validation.

::DEVELOPER

MHC2Pred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation

Methods Mol Biol. 2007;409:201-15.
Application of machine learning techniques in predicting MHC binders.
Lata S, Bhasin M, Raghava GP.

MMBPred – Predict Mutated MHC Binders

MMBPred

:: DESCRIPTION

MMBPred is a server of prediction of of MHC class I binders which can bind to wide range of MHC alleles with high affinity. This server has potential to develop sub-unit vaccine for large population

::DEVELOPER

MMBPred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation

Bhasin,M. and Raghava, G.P.S. (2003)
Prediction of promiscuous and high-affinity mutated MHC binders.
Hybrid Hybridomics.22(4),229-34.

nHLAPred – Neural Network based MHC Class-I Binding Peptide Prediction Server

nHLAPred

:: DESCRIPTION

nHLAPred allow to predict binding peptide for 67 MHC Class I alleles. This also allow to predict the proteasome cleavage site and binding peptide that have cleavage site at C terminus (potential T cell epitopes).

::DEVELOPER

nHLAPred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation

Bhasin M. and Raghava G P S (2006)
A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes;
J. Biosci. 32:31-42.

MHC – Matrix Optimization Technique for Predicting MHC binding Core

MHC

:: DESCRIPTION

MHC server was used Matrix Optimization Technique to predict MHC binding core.

::DEVELOPER

G P S Raghava
,
:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation

Singh, H. and Raghava, G. P. S. (2002)
Detection of Orientation of MHC Class II Binding Peptides Using Bioinformatics Tools
Biotech Software and Internet Report, 3:146

BJTEpitope – T-cell Epitope Prediction for the MHC class I allele HLA-A*0201

BJTEpitope

:: DESCRIPTION

BJTEpitope is a software for T-cell epitope prediction for the MHC class I allele HLA-A*0201

::DEVELOPER

Center of Computational Biology, Beijing Institute of Basic Medical Sciences

:: SCREENSHOTS

:: REQUIREMENTS

Windows

:: DOWNLOAD

BJTEpitope

:: MORE INFORMATION