NetMHCIIpan 3.2

:: DESCRIPTION

NetMHCIIpan predicts binding of peptides to more than 500 HLA-DR alleles using artificial neural networks (ANNs). The prediction values are given in nM IC50 values and as %-Rank to a set of 200.000 random natural peptides.

::DEVELOPER

DTU Health Tech

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux

:: DOWNLOAD

NetMHCIIpan

:: MORE INFORMATION

Citation

Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification.
Andreatta M, Karosiene E, Rasmussen M, Stryhn A, Buus S, Nielsen M.
Immunogenetics. 2015 Sep 29.

NetMHCIIpan-3.0, a common pan-specific MHC class II prediction method including all three human MHC class II isotypes, HLA-DR, HLA-DP and HLA-DQ
Karosiene E, Rasmussen M, Blicher T, Lund O, Buus S, and Nielsen M
Immunogenetics, 2013

NetMHCIIpan-2.0 – Improved pan-specific HLA-DR predictions using a novel concurrent alignment and weight optimization training procedure
Nielsen M1, Lundegaard C1, Justesen S2, Lund O1, and Buus S2
Immunome Res. 2010 Nov 13;6(1):9.

HLADR4Pred

:: DESCRIPTION

The HLA-DR4Pred is an SVM and ANN based HLA-DRB1*0401(MHC class II alleles) binding peptides prediction method. The accuracy of the SVM and ANN based methods is ~86% and ~78% respectively.The performence of the methods was tested through 5 set cross-validation. The training of SVM and ANN was done by using the freely availaible SVM_LIGHT and SNNS packages respectively. The data for training of neural network and SVM model has been extracted from MHCBN database.This method will be useful in cellular immunology, Vaccine design, immunodiagnostics, immunotherapeuatics and molecular understanding of autoimmune susceptibility.

::DEVELOPER

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation

Tag: HLA-DR

NetMHCIIpan 3.2 – predict Pan-specific Binding of Peptides to MHC class II HLA-DR Alleles

NetMHCIIpan 3.2

HLADR4Pred – SVM and ANN based HLA-DR Bininding Peptide Prediction

HLADR4Pred