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

  NO

:: 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.

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

  NO

:: 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.

HLAminer 1.4 – Derivation of HLA class I Predictions from Shotgun sequence datasets

HLAminer 1.4

:: DESCRIPTION

HLAminer is a software for HLA class I predictions from next-generation shotgun (NGS) sequence read data that supports direct read alignment (HPRA) and targeted assembly of sequence reads (HPTASR).

::DEVELOPER

Rene Warren @ Genome Sciences Centre

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 HLAminer

:: MORE INFORMATION

Citation

Genome Med. 2012 Dec 10;4(12):95.
Derivation of HLA types from shotgun sequence datasets.
Warren RL, Choe G, Freeman DJ, Castellarin M, Munro S, Moore R, Holt RA.

MHCPred 2.0 – Additive method for MHC class I and class II binding prediction.

MHCPred 2.0

:: DESCRIPTION

MHCPred uses the additive method to predict the binding affinity of major histocompatibility complex (MHC) class I and II molecules and also to the Transporter associated with Processing (TAP).

::DEVELOPER

Drug Design Group, Medical University of Sofia

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

MHCPred 2.0: an updated quantitative T-cell epitope prediction server.
Guan P, Hattotuwagama CK, Doytchinova IA, Flower DR.
Appl Bioinformatics. 2006;5(1):55-61.

EpiJen 1.0 – Multi-step algorithm for MHC class I binding prediction

EpiJen 1.0

:: DESCRIPTION

EpiJen is a reliable multi-step algorithm for T cell epitope prediction, which belongs to the next generation of in silico T cell epitope identification methods.

::DEVELOPER

Drug Design Group, Medical University of Sofia

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

EpiJen: a server for multistep T cell epitope prediction.
Doytchinova IA, Guan P, Flower DR.
BMC Bioinformatics. 2006 Mar 13;7:131.

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

BJTEpitope

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

  BJTEpitope

:: MORE INFORMATION