![]() We also identified shared epitopes between Delta, Omicron, and Wuhan Spike variants as well as variant-specific epitopes. Using Epitope-Evaluator, we found the HLA-B*40, HLA-B*27:05 and HLA-B*07:02 recognized fewer epitopes from the SARS-CoV-2 proteome than other MHC Class I alleles. By choosing different cutoffs and parameters, users can produce several interactive plots and tables that can be downloaded as JPG and text files, respectively. Epitope-Evaluator requires as input the fasta file of protein sequences and the output prediction file coming out from any predictor. Epitope-Evaluator contains six tools providing the distribution of epitopes across a selected set of MHC alleles, the promiscuity and conservation of epitopes, and their density and location within antigens. ![]() We present Epitope-Evaluator, a web tool developed in the Shiny/R framework to interactively analyze predicted T-cell epitopes. ![]() ![]() ![]() These prediction tools output hundreds of potential peptide candidates which require further processing however, these tools are either not graphical or not friendly for non-programming users. Multiple immunoinformatic tools have been developed to predict T-cell epitopes from protein amino acid sequences for different major histocompatibility complex (MHC) alleles. ![]()
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