Immunoinformatics-guided design of an epitope-based vaccine against severe acute respiratory syndrome coronavirus 2 spike glycoprotein

Autor: Sabrina Jahan Mily, Arkajyoti Paul, Firzan Nainu, Taslima Akter Eva, Asif Shahriar, Faisal A. Almalki, Talha Bin Emran, Nusrat Jahan Mimi, Sagar Shil, Abu Montakim Tareq, Nazim Uddin Emon, Saad Ahmed Sami, Sajal Chakraborty, Ahmed Rakib, Md. Mustafiz Chowdhury, Taibi Ben Hadda
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Computers in Biology and Medicine
ISSN: 1879-0534
0010-4825
Popis: 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.
Highlights • COVID-19 is regarded as an infectious disease, which caused by severe acute respiratory syndrome-coronavirus 2. • Our research group focused on vaccine design against SARS-CoV-2 utilizing various immunoinformatics tools. • For T-cell epitopes, our study mainly concentrated on the epitopes that bind with MHC class I molecules. • By utilizing the immunoinformatics database, we predicted three T-cell epitopes. • We determined the binding affinities of the epitopes with the HLA encoded by MHC through molecular docking studies. • Besides, our present study also predicted the B-cell epitopes, which presumably elicit a stronger immune response.
Databáze: OpenAIRE
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