:: 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
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
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
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: 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.
:: 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
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: 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.