Dataset - Design of SARS-CoV-2 protein S peptides recognized by the most frequent HLA alleles in the Moroccan population using an immunoinformatics approach
收藏DataCite Commons2024-05-02 更新2024-08-26 收录
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https://figshare.com/articles/dataset/Dataset_-_Design_of_SARS-CoV-2_protein_S_peptides_recognized_by_the_most_frequent_HLA_alleles_in_the_Moroccan_population_using_an_immunoinformatics_approach/25737534
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This dataset comprises SARS-CoV-2 sequences of various variants, including wild-type and mutated sequences, obtained from strains isolated from Moroccan patients. The dataset was curated to investigate human genetic diversity and its influence on the immune response to COVID-19. Utilizing in silico methods, epitopes capable of eliciting an immune response were identified, with a focus on the most prevalent HLA-I and HLA-II alleles in the Moroccan population. The dataset includes predictions of peptide-binding affinities between these alleles and SARS-CoV-2 spike glycoprotein (S protein) peptides. These findings contribute to understanding host cell susceptibility and outcomes of SARS-CoV-2 infection, guiding further research on vaccination strategies.
提供机构:
figshare
创建时间:
2024-05-02



