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MHC2Pred Help


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. The data for training has been extracted from MHCBN and JenPep database.This method will be useful in cellular immunology, Vaccine design, immunodiagnostics, immunotherapeuatics and molecular understanding of autoimmune susceptibility. The stepwise help for using the server and snapshot of submission page with approriate labelling has been described below:-

 Prediction Results-: The results of the prediction displayed in user-freindly text formats.Each of result display format firstly provides a compehensive account of length of input sequence,prediction approach,nonamers generated and threshold as shown below.

Finally click on "Submit" button.











>> Created at::  Bioinformatics Centre, Institute of Microbial Technology, Chandigarh   INDIA