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suck abstract from ncbi


10.1016/j.compbiomed.2020.103967

http://scihub22266oqcxt.onion/10.1016/j.compbiomed.2020.103967
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suck abstract from ncbi


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pmid32828069      Comput+Biol+Med 2020 ; 124 (ä): 103967
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  • Immunoinformatics-guided design of an epitope-based vaccine against severe acute respiratory syndrome coronavirus 2 spike glycoprotein #MMPMID32828069
  • Rakib A; Sami SA; Mimi NJ; Chowdhury MM; Eva TA; Nainu F; Paul A; Shahriar A; Tareq AM; Emon NU; Chakraborty S; Shil S; Mily SJ; Ben Hadda T; Almalki FA; Emran TB
  • Comput Biol Med 2020[Sep]; 124 (ä): 103967 PMID32828069show ga
  • AIMS: With a large number of fatalities, coronavirus disease-2019 (COVID-19) has greatly affected human health worldwide. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus that causes COVID-19. The World Health Organization has declared a global pandemic of this contagious disease. Researchers across the world are collaborating in a quest for remedies to combat this deadly virus. It has recently been demonstrated that the spike glycoprotein (SGP) of SARS-CoV-2 is the mediator by which the virus enters host cells. MAIN METHODS: Our group comprehensibly analyzed the SGP of SARS-CoV-2 through multiple sequence analysis and a phylogenetic analysis. We predicted the strongest immunogenic epitopes of the SGP for both B cells and T cells. KEY FINDINGS: We focused on predicting peptides that would bind major histocompatibility complex class I. Two optimal epitopes were identified, WTAGAAAYY and GAAAYYVGY. They interact with the HLA-B*15:01 allele, which was further validated by molecular docking simulation. This study also found that the selected epitopes are able to be recognized in a large percentage of the world's population. Furthermore, we predicted CD4(+) T-cell epitopes and B-cell epitopes. SIGNIFICANCE: Our study provides a strong basis for designing vaccine candidates against SARS-CoV-2. However, laboratory work is required to validate our theoretical results, which would lay the foundation for the appropriate vaccine manufacturing and testing processes.
  • |*Betacoronavirus/genetics/immunology[MESH]
  • |Amino Acid Sequence[MESH]
  • |Antigens, Viral/chemistry/genetics/immunology[MESH]
  • |COVID-19[MESH]
  • |COVID-19 Vaccines[MESH]
  • |Computational Biology[MESH]
  • |Coronavirus Infections/epidemiology/genetics/immunology/*prevention & control[MESH]
  • |Drug Design[MESH]
  • |Epitopes, B-Lymphocyte/chemistry/genetics/immunology[MESH]
  • |Epitopes, T-Lymphocyte/chemistry/genetics/immunology[MESH]
  • |HLA-B15 Antigen/chemistry/metabolism[MESH]
  • |HLA-DRB1 Chains/chemistry/metabolism[MESH]
  • |Humans[MESH]
  • |Molecular Docking Simulation[MESH]
  • |Pandemics/*prevention & control[MESH]
  • |Pneumonia, Viral/epidemiology/immunology/*prevention & control[MESH]
  • |SARS-CoV-2[MESH]
  • |Spike Glycoprotein, Coronavirus/*immunology[MESH]


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