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Exploring the SARS-CoV-2 structural proteins for multi-epitope vaccine development: an in-silico approach.
Expert Review of Vaccines ( IF 6.2 ) Pub Date : 2020-09-09 , DOI: 10.1080/14760584.2020.1813576
Amit Kumar 1 , Prateek Kumar 1 , Kumar Udit Saumya 1 , Shivani K Kapuganti 1 , Taniya Bhardwaj 1 , Rajanish Giri 1
Affiliation  

ABSTRACT

Introduction

The ongoing life-threatening pandemic of coronavirus disease 2019 (COVID-19) has extensively affected the world. During this global health crisis, it is fundamentally crucial to find strategies to combat SARS-CoV-2. Despite several efforts in this direction and continuing clinical trials, no vaccine has been approved for it yet.

Methods

To find a preventive measure, we have computationally designed a multi-epitopic subunit vaccine using immuno-informatic approaches.

Results

The structural proteins of SARS-CoV-2 involved in its survival and pathogenicity were used to predict antigenic epitopes. The antigenic epitopes were capable of eliciting a strong humoral as well as cell-mediated immune response, our predictions suggest. The final vaccine was constructed by joining the all epitopes with specific linkers and to enhance their stability and immunogenicity. The physicochemical property of the vaccine was assessed. The vaccine 3D structure prediction and validation were done and docked with the human TLR-3 receptor. Furthermore, molecular dynamics simulations of the vaccine-TLR-3 receptor complex are employed to assess its dynamic motions and binding stability in-silico.

Conclusion

Based on this study, we strongly suggest synthesizing this vaccine, which further can be tested in-vitro and in-vivo to check its potency in a cure for COVID-19.



中文翻译:

探索用于多表位疫苗开发的 SARS-CoV-2 结构蛋白:一种计算机方法。

摘要

介绍

2019 年冠状病毒病 (COVID-19) 持续威胁生命,广泛影响了世界。在这场全球健康危机期间,找到对抗 SARS-CoV-2 的策略至关重要。尽管在这个方向上进行了多次努力并持续进行临床试验,但尚未批准该疫苗。

方法

为了找到预防措施,我们使用免疫信息学方法通过计算设计了一种多表位亚单位疫苗。

结果

SARS-CoV-2 与其生存和致病性相关的结构蛋白被用来预测抗原表位。我们的预测表明,抗原表位能够引发强烈的体液以及细胞介导的免疫反应。最终的疫苗是通过将所有表位与特定接头连接起来构建的,并增强其稳定性和免疫原性。评估了疫苗的理化性质。完成疫苗3D结构预测和验证,并与人TLR-3受体对接。此外,采用疫苗-TLR-3受体复合物的分子动力学模拟来评估其动态运动和计算机模拟结合稳定性

结论

基于这项研究,我们强烈建议合成这种疫苗,并进一步进行体外体内测试,以检查其治疗 COVID-19 的效力。

更新日期:2020-11-17
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