:: DESCRIPTION
“MHC“: Matching-Hellinger Distance-Case-Control Quasi Likelihood Tests
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Lambertus Klei and Kathryn Roeder.
Testing for Association Based on Excess Allele Sharing in a Sample of Related Cases and Controls
Hum Genet. 121: 549-557.
:: DESCRIPTION
EpiDOCK is the first structure-based server for MHC class II binding prediction.
::DEVELOPER
Drug Design Group, Medical University of Sofia
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
Protein Eng Des Sel. 2013 Oct;26(10):631-4. doi: 10.1093/protein/gzt018. Epub 2013 May 9.
EpiDOCK: a molecular docking-based tool for MHC class II binding prediction.
Atanasova M1, Patronov A, Dimitrov I, Flower DR, Doytchinova I.
:: 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
:: 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.
:: DESCRIPTION
EpiTOP is the first server predicting MHC class II binding based on proteochemometrics, a QSAR approach for ligands binding to several related proteins.
::DEVELOPER
Drug Design Group, Medical University of Sofia
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
Dimitrov, I., P. Garnev, D. R. Flower, I. Doytchinova
EpiTOP – a proteochemometric tool for MHC class II binding prediction.
Bioinformatics, 26(16), 2066-2068, 2010.
:: 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
:: 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.
:: DESCRIPTION
MHC-NP is a python tool to identify peptides that are naturally processed by the MHC-I pathway.
::DEVELOPER
Machine Learning Research Group at Laval University
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
Sébastien Giguère, Alexandre Drouin, Alexandre Lacoste, Mario Marchand, Jacques Corbeil, and François Laviolette
“MHC-NP: Predicting peptides naturally processed by the MHC.”
Journal of immunological methods 400 (2013): 30-36.
:: DESCRIPTION
NetMHCII predicts binding of peptides to HLA-DR, HLA-DQ, HLA-DP and mouse MHC class II alleles using articial neuron networks.
Predictions can be obtained for 14 HLA-DR alleles covering the 9 HLA-DR supertypes, six HLA-DQ, six HLA-DP, and two mouse H2 class II alleles.
The prediction values are given in nM IC50 values, and as a %-Rank to a set of 1,000,000 random natural peptides. Strong and weak binding peptides are indicated in the output.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
BMC Bioinformatics. 2009 Sep 18;10:296.
NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction.
Nielsen M, Lund O.
:: 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
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: 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.
:: DESCRIPTION
NetMHC predicts binding of peptides to a number of different HLA alleles using artificial neural networks (ANNs) and weight matrices.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Gapped sequence alignment using artificial neural networks: application to the MHC class I system.
Andreatta M, Nielsen M.
Bioinformatics. 2015 Oct 29. pii: btv639.
NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8-11
Lundegaard C, Lamberth K, Harndahl M, Buus S, Lund O, Nielsen M.
Nucleic Acids Res. 1;36(Web Server issue):W509-12. 2008
:: DESCRIPTION
The MHCBN is a curated database consisting of detailed information about Major Histocompatibility Complex (MHC) Binding,Non-binding peptides and T-cell epitopes.The version 4.0 of database provides information about peptides interacting with TAP and MHC linked autoimmune diseases.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
MHCBN 4.0: A database of MHC/TAP binding peptides and T-cell epitopes.
Lata S, Bhasin M, Raghava GP.
BMC Res Notes. 2009 Apr 20;2:61. doi: 10.1186/1756-0500-2-61.