SARS-CoV-2 is the deadly virus behind COVID-19, the disease that went on to ravage the world and caused the biggest pandemic 21st century has witnessed so far. On the face of ongoing death and destruction, the urgent need for the discovery of a vaccine against the virus is paramount. This study resorted to the emerging discipline of immunoinformatics in order to design a multi-epitope mRNA vaccine against the spike glycoprotein of SARS-CoV-2. Various immunoinformatics tools were utilized to predict T and B lymphocyte epitopes. The epitopes were channeled through a filtering pipeline comprised of antigenicity, toxicity, allergenicity, and cytokine inducibility evaluation with the goal of selecting epitopes capable of generating both T and B cell-mediated immune responses. Molecular docking simulation between the epitopes and their corresponding MHC molecules was carried out. 13 epitopes, a highly immunogenic adjuvant, elements for proper sub-cellular trafficking, a secretion booster, and appropriate linkers were combined for constructing the vaccine. The vaccine was found to be antigenic, almost neutral at physiological pH, non-toxic, non-allergenic, capable of generating a robust immune response and had a decent worldwide population coverage. Based on these parameters, this design can be considered a promising choice for a vaccine against SARS-CoV-2.

SARS-CoV-2 是 COVID-19 背后的致命病毒，这种疾病继续肆虐世界并造成 21 世纪迄今最大规模的流行病。面对持续不断的死亡和破坏，迫切需要发现针对该病毒的疫苗。本研究采用新兴的免疫信息学学科，以设计针对 SARS-CoV-2 刺突糖蛋白的多表位 mRNA 疫苗。利用各种免疫信息学工具来预测 T 和 B 淋巴细胞表位。表位通过由抗原性、毒性、过敏性和细胞因子诱导性评估组成的过滤管道，目的是选择能够产生 T 和 B 细胞介导的免疫反应的表位。进行了表位与其相应的MHC分子之间的分子对接模拟。将 13 个表位、一种高免疫原性佐剂、用于适当亚细胞运输的元素、一种分泌增强剂和适当的连接子组合起来构建疫苗。该疫苗被发现具有抗原性，在生理 pH 值下几乎是中性的，无毒，无过敏性，能够产生强大的免疫反应，并且在全球范围内具有良好的人口覆盖率。基于这些参数，这种设计可以被认为是抗 SARS-CoV-2 疫苗的有前途的选择。在生理 pH 值下几乎是中性的，无毒，无过敏性，能够产生强大的免疫反应，并且在全球范围内具有良好的人口覆盖率。基于这些参数，这种设计可以被认为是抗 SARS-CoV-2 疫苗的有前途的选择。在生理 pH 值下几乎是中性的，无毒，无过敏性，能够产生强大的免疫反应，并且在全球范围内具有良好的人口覆盖率。基于这些参数，这种设计可以被认为是抗 SARS-CoV-2 疫苗的有前途的选择。