In Silico Prediction of Multi-Epitopes Vaccine from the Fusion F Protein Against Respiratory Syncytial Virus

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Abstract

Respiratory Syncytial Virus (RSV) is the major cause of the lower respiratory tract illness (RTI) in the elderly and in immunocompromised patients and children under 5 years of age. The disease causes deaths of approximately 500 infants each year. Conventional vaccine against the disease demonstrated immunological pitfalls to enhance T-helper responses and developed non-neutralising antibodies. This study aimed to predict epitopes from the fusion F protein of SRV that elicit the immune system and acted as safer efficacious vaccine. A total of 199 strains of RSV were retrieved from the NCBI database. The immune epitope database analysis resources (IEDB) were used for epitopes prediction against B and T cells. The population coverage was also calculated for the proposed epitopes against the whole world. Only two epitopes (441-YVSNK-445 and 440-DYVS-443) successfully passed all B cell prediction tools and demonstrated higher score in Emini and Kolaskar and tongaonker software. Thus were proposed as B cells epitopes. For T cells, a total of 177 epitopes were found to interact with MHC-I alleles. Among them four epitopes (53-YTSVITIEL-61; 250-YMLTNSELL-258, 198-YIDKQLLPI-206, and 450-VSVGNTLYY-458) were proposed since they interacted with the highest number of alleles and the best binding affinity to MHC-1 alleles. Moreover, a total of 397 core epitopes were found to interact with MHC-П alleles. However, the best four core proposed epitopes that interacted with higher number of MHC-II alleles were 217-IETVIEFQQ-226; 250-YMLTNSELL-258; 477-FYDPLVFPS-485 and 505-FIRKSDELL-513. Strikingly the epitope 250-YMLTNSELL-258 successfully interacted with both MHC-1and MHC-П alleles. The population coverage was 48.61% and 99.64% for MHC-I and MHC-II epitopes, respectively, and 100% for all T cells epitopes. Taken together ten epitopes successfully proposed as vaccine candidate against RSV. In vivo and in vitro clinical trials studies are required to elucidate the effectiveness of these epitopes as vaccine.
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融合F蛋白抗呼吸道合胞病毒多表位疫苗的计算机预测
呼吸道合胞病毒(RSV)是导致老年人、免疫功能低下患者和5岁以下儿童患上下呼吸道疾病(RTI)的主要原因。这种疾病每年造成大约500名婴儿死亡。传统的抗该病疫苗显示出增强t辅助反应和产生非中和抗体的免疫缺陷。本研究旨在预测SRV融合F蛋白的表位,这些表位可以引发免疫系统并作为更安全有效的疫苗。从NCBI数据库中共检索到199株RSV。利用免疫表位数据库分析资源(IEDB)对B细胞和T细胞进行表位预测。并计算了拟建表位在全球范围内的人口覆盖率。只有两个表位(441-YVSNK-445和440-DYVS-443)成功通过所有B细胞预测工具,并在Emini和Kolaskar和tongaonker软件中表现出较高的评分。因此被认为是B细胞的表位。对于T细胞,共发现177个表位与MHC-I等位基因相互作用。其中4个异位(53-YTSVITIEL-61;250-YMLTNSELL-258、198-YIDKQLLPI-206和450-VSVGNTLYY-458)与等位基因相互作用数量最多,与MHC-1等位基因结合亲和力最好。此外,共有397个核心表位被发现与MHC-П等位基因相互作用。然而,与mhc - ii等位基因相互作用最多的4个核心表位是217-IETVIEFQQ-226;250 - ymltnsell - 258;477-FYDPLVFPS-485和505-FIRKSDELL-513。引人注目的是,表位250-YMLTNSELL-258成功地与MHC-1和MHC-П等位基因相互作用。MHC-I和MHC-II表位的总体覆盖率分别为48.61%和99.64%,所有T细胞表位的总体覆盖率为100%。本文总结了成功提出的10个表位作为RSV候选疫苗。需要进行体内和体外临床试验来阐明这些表位作为疫苗的有效性。
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