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10.1016/j.xcrm.2021.100221

http://scihub22266oqcxt.onion/10.1016/j.xcrm.2021.100221
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suck abstract from ncbi


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pmid33649748      Cell+Rep+Med 2021 ; 2 (3): 100221
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  • Total predicted MHC-I epitope load is inversely associated with population mortality from SARS-CoV-2 #MMPMID33649748
  • Wilson EA; Hirneise G; Singharoy A; Anderson KS
  • Cell Rep Med 2021[Mar]; 2 (3): 100221 PMID33649748show ga
  • Polymorphisms in MHC-I protein sequences across human populations significantly affect viral peptide binding capacity, and thus alter T cell immunity to infection. In the present study, we assess the relationship between observed SARS-CoV-2 population mortality and the predicted viral binding capacities of 52 common MHC-I alleles. Potential SARS-CoV-2 MHC-I peptides are identified using a consensus MHC-I binding and presentation prediction algorithm called EnsembleMHC. Starting with nearly 3.5 million candidates, we resolve a few hundred highly probable MHC-I peptides. By weighing individual MHC allele-specific SARS-CoV-2 binding capacity with population frequency in 23 countries, we discover a strong inverse correlation between predicted population SARS-CoV-2 peptide binding capacity and mortality rate. Our computations reveal that peptides derived from the structural proteins of the virus produce a stronger association with observed mortality rate, highlighting the importance of S, N, M, and E proteins in driving productive immune responses.
  • |Algorithms[MESH]
  • |Alleles[MESH]
  • |CD8-Positive T-Lymphocytes/immunology[MESH]
  • |COVID-19/*mortality/pathology/virology[MESH]
  • |Cell Line, Tumor[MESH]
  • |Epitopes, T-Lymphocyte/chemistry/*immunology[MESH]
  • |Gene Frequency[MESH]
  • |Histocompatibility Antigens Class I/chemistry/genetics/*immunology[MESH]
  • |Humans[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2/isolation & purification[MESH]


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