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Design an Efficient Multi-Epitope Peptide Vaccine Candidate Against SARS-CoV-2: An in silico Analysis.设计一种针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的高效多表位肽疫苗候选物:计算机模拟分析
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Excavating SARS-coronavirus 2 genome for epitope-based subunit vaccine synthesis using immunoinformatics approach.运用免疫信息学方法挖掘严重急性呼吸综合征冠状病毒2基因组以用于基于表位的亚单位疫苗合成。
J Cell Physiol. 2021 Feb;236(2):1131-1147. doi: 10.1002/jcp.29923. Epub 2020 Jul 9.
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Immunoinformatics study to search epitopes of spike glycoprotein from SARS-CoV-2 as potential vaccine.免疫信息学研究搜索 SARS-CoV-2 刺突糖蛋白表位作为潜在疫苗。
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Epitope based vaccine prediction for SARS-COV-2 by deploying immuno-informatics approach.通过部署免疫信息学方法对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)进行基于表位的疫苗预测。
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Development of epitope-based peptide vaccine against novel coronavirus 2019 (SARS-COV-2): Immunoinformatics approach.基于表位的新型冠状病毒 2019(SARS-CoV-2)肽疫苗的研制:免疫信息学方法。
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Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection.胸部计算机断层扫描在 2019 年冠状病毒病(COVID-19)中的表现:与感染持续时间的关系。
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Coronavirus infections and immune responses.冠状病毒感染与免疫应答。
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Coronavirus Infections-More Than Just the Common Cold.冠状病毒感染——远不止是普通感冒。
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Metagenomic deep sequencing reveals association of microbiome signature with functional biases in bovine mastitis.宏基因组深度测序揭示了微生物组特征与奶牛乳腺炎功能偏倚的关联。
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The PSIPRED Protein Analysis Workbench: 20 years on.PSIPRED 蛋白质分析工作平台:20 年的发展
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基于免疫信息学设计和计算机分析的针对多种人冠状病毒(HCoV)株的基于表位的多价疫苗。

Immunoinformatics-guided designing and in silico analysis of epitope-based polyvalent vaccines against multiple strains of human coronavirus (HCoV).

机构信息

Department of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, Bangladesh.

Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh.

出版信息

Expert Rev Vaccines. 2022 Dec;21(12):1851-1871. doi: 10.1080/14760584.2021.1874925. Epub 2021 Mar 15.

DOI:10.1080/14760584.2021.1874925
PMID:33435759
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7989953/
Abstract

OBJECTIVES

The group of human coronaviruses (HCoVs) consists of some highly pathogenic viruses that have caused several outbreaks in the past. The newly emerged strain of HCoV, the SARS-CoV-2 is responsible for the recent global pandemic that has already caused the death of hundreds of thousands of people due to the lack of effective therapeutic options.

METHODS

In this study, immunoinformatics methods were used to design epitope-based polyvalent vaccines which are expected to be effective against four different pathogenic strains of HCoV i.e., HCoV-OC43, HCoV-SARS, HCoV-MERS, and SARS-CoV-2.

RESULTS

The constructed vaccines consist of highly antigenic, non-allergenic, nontoxic, conserved, and non-homologous T-cell and B-cell epitopes from all the four viral strains. Therefore, they should be able to provide strong protection against all these strains. Protein-protein docking was performed to predict the best vaccine construct. Later, the MD simulation and immune simulation of the best vaccine construct also predicted satisfactory results. Finally, in silico cloning was performed to develop a mass production strategy of the vaccine.

CONCLUSION

If satisfactory results are achieved in further in vivo and in vitro studies, then the vaccines designed in this study might be effective as preventative measures against the selected HCoV strains.

摘要

目的

人类冠状病毒(HCoV)群由一些高致病性病毒组成,这些病毒在过去曾引发过几次爆发。新出现的 HCoV 株,即 SARS-CoV-2,是导致最近全球大流行的原因,由于缺乏有效的治疗选择,已经导致数十万人死亡。

方法

在这项研究中,使用免疫信息学方法设计基于表位的多价疫苗,预计该疫苗将对 HCoV 的四种不同致病株即 HCoV-OC43、HCoV-SARS、HCoV-MERS 和 SARS-CoV-2 有效。

结果

构建的疫苗包含来自所有四种病毒株的高度抗原性、非变应原性、无毒、保守和非同源 T 细胞和 B 细胞表位。因此,它们应该能够提供针对所有这些菌株的强大保护。进行了蛋白质-蛋白质对接以预测最佳疫苗构建体。随后,对最佳疫苗构建体进行 MD 模拟和免疫模拟也预测了令人满意的结果。最后,进行了计算机模拟克隆以开发疫苗的大规模生产策略。

结论

如果在进一步的体内和体外研究中取得满意的结果,那么本研究设计的疫苗可能作为针对所选 HCoV 株的预防措施有效。