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  1. HLA-DR4Pred (View Publication)
    Resource Category : Webserver -> Protein -> Immunology

    Brief Description : TheHLA-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.
    Subject Area : Pepride Prediction; Immunology


    Institute/s :
    Institute of Microbial Technology, Chandigarh, INDIA
    Address of Institute/s :
    Bioinformatics Centre, Institute of Microbial Technology, Sector 39A, Chandigarh, INDIA
    State : Chandigarh, UT
    Country : India


    Authors/Contributors : Manoj Bhasin; G P S Raghava
    Contact Email : raghava@imtech.res.in
    Year : 2004
    Language : English

    Keywords : Algorithms; Amino Acid Sequence; Antigens/chemistry; Artificial Intelligence; Binding Sites; Binding Sites, Antibody; Cluster Analysis; Computing Methodologies; Drug Design; Epitopes, T-Lymphocyte/chemistry; HLA-DR Antigens / chemistry; Molecular Sequence Data; Neural Networks (Computer); Pattern Recognition, Automated; Protein Binding; Sequence Alignment / methods; Sequence Analysis, Protein / methods; Software