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基于 SARS-COV-2 的新一代多表位疫苗(MEV)的设计:免疫信息学和计算机模拟方法。

Designing of a next generation multiepitope based vaccine (MEV) against SARS-COV-2: Immunoinformatics and in silico approaches.

机构信息

College of Life Science and Technology, Guangxi University, Nanning, P. R. China.

Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.

出版信息

PLoS One. 2020 Dec 22;15(12):e0244176. doi: 10.1371/journal.pone.0244176. eCollection 2020.

DOI:10.1371/journal.pone.0244176
PMID:33351863
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7755200/
Abstract

Coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory coronavirus 2 (SARS-COV-2) is a significant threat to global health security. Till date, no completely effective drug or vaccine is available to cure COVID-19. Therefore, an effective vaccine against SARS-COV-2 is crucially needed. This study was conducted to design an effective multiepitope based vaccine (MEV) against SARS-COV-2. Seven highly antigenic proteins of SARS-COV-2 were selected as targets and different epitopes (B-cell and T-cell) were predicted. Highly antigenic and overlapping epitopes were shortlisted. Selected epitopes indicated significant interactions with the HLA-binding alleles and 99.93% coverage of the world's population. Hence, 505 amino acids long MEV was designed by connecting 16 MHC class I and eleven MHC class II epitopes with suitable linkers and adjuvant. MEV construct was non-allergenic, antigenic, stable and flexible. Furthermore, molecular docking followed by molecular dynamics (MD) simulation analyses, demonstrated a stable and strong binding affinity of MEV with human pathogenic toll-like receptors (TLR), TLR3 and TLR8. Finally, MEV codons were optimized for its in silico cloning into Escherichia coli K-12 system, to ensure its increased expression. Designed MEV in present study could be a potential candidate for further vaccine production process against COVID-19. However, to ensure its safety and immunogenic profile, the proposed MEV needs to be experimentally validated.

摘要

新型冠状病毒病(COVID-19)大流行是由严重急性呼吸系统综合征冠状病毒 2(SARS-COV-2)引起的,是对全球卫生安全的重大威胁。迄今为止,尚无治愈 COVID-19 的完全有效药物或疫苗。因此,急需针对 SARS-COV-2 的有效疫苗。本研究旨在设计针对 SARS-COV-2 的有效多表位疫苗(MEV)。选择了七种具有高度抗原性的 SARS-COV-2 蛋白作为靶标,并预测了不同的表位(B 细胞和 T 细胞)。高抗原性和重叠表位被列为候选。选定的表位与 HLA 结合等位基因有显著的相互作用,能覆盖全球 99.93%的人群。因此,通过连接 16 个 MHC Ⅰ类和 11 个 MHC Ⅱ类表位与合适的接头和佐剂,设计了 505 个氨基酸长的 MEV。MEV 构建体无变应原性、抗原性、稳定性和灵活性。此外,分子对接后进行分子动力学(MD)模拟分析,表明 MEV 与人病原体 Toll 样受体(TLR)、TLR3 和 TLR8 具有稳定且强的结合亲和力。最后,对 MEV 密码子进行优化,以便在大肠杆菌 K-12 系统中进行计算机克隆,以确保其表达增加。本研究设计的 MEV 可能是进一步开发针对 COVID-19 的疫苗的潜在候选物。然而,为确保其安全性和免疫原性,需要对所提出的 MEV 进行实验验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9606/7755200/5170621d8153/pone.0244176.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9606/7755200/5170621d8153/pone.0244176.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9606/7755200/5170621d8153/pone.0244176.g007.jpg

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