Bioinformatics Analysis of SARS-CoV-2 to Approach an Effective Vaccine Candidate Against COVID-19.
Bioinformatics Analysis of SARS-CoV-2 to Approach an Effective Vaccine Candidate Against COVID-19.
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DOI：
10.1007/s12033-021-00303-0
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发表时间：
2021-05
影响因子：
2.6
通讯作者：
Bahramali G
中科院分区：
文献类型：
--
作者：
Sadat SM;Aghadadeghi MR;Yousefi M;Khodaei A;Sadat Larijani M;Bahramali G
新型冠状病毒病2019 （COVID-19）大流行对全球公共卫生构成严重威胁，需要紧急提供疫苗。根据该病毒作为RNA病毒的特点，高突变率给疫苗设计带来了一些困难。生物信息学工具已广泛用于利用保守区域和免疫原性。本研究旨在通过对SARS-CoV-2蛋白保护性和免疫原性的免疫信息学评价来设计一种预防性候选疫苗。获得了穗、膜和核衣壳的氨基酸序列，并对4种可能的融合蛋白进行了结构特征、免疫原性和种群覆盖率的评估和比较。对MHC-I和MHC-II t细胞表位、b细胞线性表位和构象表位进行评价。在预测模型中，使用AAY连接体的Spike in与M和N蛋白融合的截短形式具有较高的MHC-I和MCH-II表位率，具有较高的抗原性，可接受的人群覆盖率在伊朗为82.95%，在欧洲为92.51%。该计算机研究提供了截断的Spike-M-N SARS-CoV-2作为进一步体内评估的潜在预防性候选疫苗。
The emerging Coronavirus Disease 2019 (COVID-19) pandemic has posed a serious threat to the public health worldwide, demanding urgent vaccine provide. According to the virus feature as an RNA virus, a high rate of mutations imposes some vaccine design difficulties. Bioinformatics tools have been widely used to make advantage of conserved regions as well as immunogenicity. In this study, we aimed at immunoinformatic evaluation of SARS-CoV-2 proteins conservancy and immunogenicity to design a preventive vaccine candidate. Spike, Membrane and Nucleocapsid amino acid sequences were obtained, and four possible fusion proteins were assessed and compared in terms of structural features and immunogenicity, and population coverage. MHC-I and MHC-II T-cell epitopes, the linear and conformational B-cell epitopes were evaluated. Among the predicted models, the truncated form of Spike in fusion with M and N protein applying AAY linker has high rate of MHC-I and MCH-II epitopes with high antigenicity and acceptable population coverage of 82.95% in Iran and 92.51% in Europe. The in silico study provided truncated Spike-M-N SARS-CoV-2 as a potential preventive vaccine candidate for further in vivo evaluation.
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影响因子：
8
作者：
COLOVOS, C;YEATES, TO
通讯作者：
YEATES, TO
影响因子：
5.2
作者：
Alexpandi, Rajaiah;De Mesquita, Joelma Freire;Ravi, Arumugam Veera
通讯作者：
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影响因子：
7.3
作者：
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通讯作者：
Zha, Yan
DOI：
10.1016/j.dsx.2020.04.020
发表时间：
2020-07-01
影响因子：
10
作者：
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通讯作者：
Ysrafil
影响因子：
5.8
作者：
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通讯作者：
Barton, GJ