生物信息学方法预测新型冠状病毒Omicron变异株抗原表位

Bioinformatic prediction of T/B cell epitopes against the Omicron variant

目的 通过生物信息学方法预测新型冠状病毒Omicron变异株的抗原表位,为病毒抗原表位多肽疫苗的设计开发提供依据。方法 以新冠病毒Omicron变异株(GenBank:OM095411.1)为研究对象,利用生物信息学服务器和免疫学工具预测新冠病毒S、M、N、E蛋白的杀伤性T细胞表位、辅助性T细胞表位和线性B细胞表位。同时,基于免疫表位数据库(IEDB)、抗原性预测(Vaxigen)、致敏性预测(AllerTOP)等表位生物学性质分析数据库对候选表位进行生物学性质分析。结果 筛选得到具有抗原性、无毒性或致敏性的杀伤性T细胞表位38个、辅助性T细胞表位15个和线性B细胞表位6个,主要位于S蛋白和M蛋白。结论 抗原表位的预测筛选方法可行,研究筛选出的候选表位,可为开发针对新冠病毒Omicron变异株多肽疫苗提供借鉴。

Objective To predict antigenic epitopes of the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)Omicron variant using bioinformatic methods and to provide evidence for the design and development of peptide vaccines.Methods Bioinformatic servers and immunology tools were used to predict cytotoxic T-cell epitopes,helper T-cell epitopes and linear B-cell epitopes of S,M,N and E proteins in the Omicron variant(GenBank:OM095411.1). The biological properties of candidate epitopes were analyzed based on the immune epitope database(IEDB),antigenicity prediction(Vaxigen),allergenicity prediction(AllerTOP)and other databases for epitope analysis. Results Thirtyeight cytotoxic T-cell epitopes,fifteen helper T-cell epitopes and six linear B-cell epitopes with good antigenicity,nontoxicity and non-allergenicity were selected. The candidate epitopes were mainly located in S protein and M protein.Conclusion This method for selecting antigenic epitopes is feasible. The epitopes in our study can be used as candidates for the development of peptide vaccines against the Omicron variant.