摘要
旨在通过免疫信息学方法预测非洲猪瘟病毒(ASFV)结构蛋白的T、B细胞表位,为非洲猪瘟(ASF)表位疫苗的设计研制提供参考。从NCBI和RCSB数据库获取ASFV蛋白质序列和三维结构,利用IEDB、DTU Health Tech等数据库的生物信息学工具对ASFV的5种结构蛋白p72、p17、p49、M1249L和H240R的细胞毒性T细胞表位、线性B细胞和构象B细胞表位进行鉴定。结果显示:5种蛋白质均为亲水性,二级结构以无规则卷曲为主,仅M1249L例外;预测到抗原性良好、无毒、无致敏的细胞毒性T细胞优势表位27个,线性B细胞优势表位35个;预测到仅针对p72的构象B细胞优势表位2个。结论:ASFV的5种蛋白质可能具有多个潜在T、B细胞表位,其中B细胞表位相对占优,5种蛋白质中p72和M1249L最具疫苗研发前景,可结合蛋白质相关参数信息为构建ASF表位疫苗提供参考。
This study was to predict the T-cell and B-cell epitopes of African swine fever virus(ASFV)proteins by immunoinformatic methods and to provide reference for the design and development of ASF epitope vaccines.The sequence and the three-dimensional structure of ASFV proteins were obtained by searching NCBI and RCSB databases.The cytotoxic T-cell epitopes,linear B-cell,and conformational B-cell epitopes of the five structural ASFV proteins,p72,p17,p49,M1249L,and H240R,were identified using bioinformatic tools in IEDB,DTU Health Tech and other databases.The results showed that five proteins were all hydrophilic proteins.The secondary structure of the five proteins was mainly random coil,except M1249L.27 potential epitopes of the cytotoxic T cells and 35 potential epitopes of the linear B cells were predicted,with good antigenicity,no toxicity,and no allergen.Two conformational B-cell potential epitopes only from p72 were also predicted.The five structural proteins of ASFV might have multiple potential T-cell and B-cell epitopes,among which B-cell epitopes were dominant.In the five proteins,p72 and M1249L were the most promising for designing and developing vaccines.Combined with the pro-tein-related information,the antigen epitopes might be used to provide a research reference for the construction of ASF epitope vaccines.
作者
李渊源
孙琦
杨齐
黄转青
张莹
徐风华
LI Yuanyuan;SUN Qi;YANG Qi;HUANG Zhuanqing;ZHANG Ying;XU Fenghua(Pharmaceutical Sciences Research Division,Department of Pharmacy,Medical Supplies Center,PLA General Hospital,Beijing 100853,China;Drug Supplies Division,Department of Pharmacy,Medical Supplies Center,PLA General Hospital,Beijing 100853,China)
出处
《畜牧与兽医》
CAS
北大核心
2024年第5期99-106,共8页
Animal Husbandry & Veterinary Medicine
基金
国家自然科学基金面上项目(82171814)。
关键词
非洲猪瘟病毒
预测
表位
T细胞
B细胞
免疫信息学
African swine fever virus
prediction
epitope
T cell
B cell
immunoinformatic