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Differences in Presentation of SARS-CoV-2 Omicron Strain Variant BA.1-BA.5 Peptides by HLA Molecules.
Nersisyan, S A; Shkurnikov, M Yu; Zhiyanov, A P; Novosad, V O; Tonevitsky, A G.
  • Nersisyan SA; Laboratory of Microfluidic Technologies for Biomedicine, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia. snersisyan@hse.ru.
  • Shkurnikov MY; Faculty of Biology and Biotechnology, National Research University Higher School of Economics, Moscow, Russia. snersisyan@hse.ru.
  • Zhiyanov AP; Laboratory of Microfluidic Technologies for Biomedicine, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.
  • Novosad VO; Faculty of Biology and Biotechnology, National Research University Higher School of Economics, Moscow, Russia.
  • Tonevitsky AG; Laboratory of Microfluidic Technologies for Biomedicine, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.
Dokl Biochem Biophys ; 507(1): 298-301, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2243723
ABSTRACT
In this work, we analyzed the binding affinities of mutated peptides of Omicron strain variants BA.1-BA.5 and the worldwide prevalent HLA alleles. Bioinformatics analysis was conducted with the use of T-CoV web portal. We showed that, for all five viral variants, mutations cause a significant reduction in the number of tightly binding peptides for HLA-B*0702 and HLA-C*0102 molecules. At the same time, there were novel potential mutant epitopes (binding affinity less than 50 nM) in case of HLA-A*3201 allele. Interestingly, mutations caused multidirectional effect on the binding affinities of the viral peptides and HLA-DRB1*0301. Specifically, Spike protein mutations in the BA.1 variant caused more than 100-fold decrease in PINLVRDLPQGFSAL binding affinity, 10-fold decrease in affinity in the case of BA.2, BA.4, and BA.5 variants, and 30% increase in affinity for the BA.3 variant.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Topics: Variants Limits: Humans Language: English Journal: Dokl Biochem Biophys Journal subject: Biophysics / Biochemistry Year: 2022 Document Type: Article Affiliation country: S1607672922060084

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Topics: Variants Limits: Humans Language: English Journal: Dokl Biochem Biophys Journal subject: Biophysics / Biochemistry Year: 2022 Document Type: Article Affiliation country: S1607672922060084