Selected article for: "MHC class and percentile rank"

Author: Anamika Basu; Anasua Sarkar; Ujjwal Maulik
Title: Strategies for vaccine design for corona virus using Immunoinformatics techniques
  • Document date: 2020_3_2
  • ID: 618glydc_18
    Snippet: CD4+ T-cell receptor responses against concerned nonstructural protein NS4 protein are done by using Peptide binding to MHC class II molecules software using MHC II binding prediction tool in IEDB analysis resource, including a consensus approach which combines NNalign, SMM-align [21] and Combinatorial library methods. For this prediction we chose thirty HLA class II alleles from the reference set. For the predicted T-cell epitopes with low perce.....
    Document: CD4+ T-cell receptor responses against concerned nonstructural protein NS4 protein are done by using Peptide binding to MHC class II molecules software using MHC II binding prediction tool in IEDB analysis resource, including a consensus approach which combines NNalign, SMM-align [21] and Combinatorial library methods. For this prediction we chose thirty HLA class II alleles from the reference set. For the predicted T-cell epitopes with low percentile rank are identified and their IC50 values for respective alleles are determined by SMM-align method [22] .

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