{"title":"融合F蛋白抗呼吸道合胞病毒多表位疫苗的计算机预测","authors":"","doi":"10.33140/jcei.05.02.01","DOIUrl":null,"url":null,"abstract":"Respiratory Syncytial Virus (RSV) is the major cause of the lower respiratory tract illness (RTI) in the elderly and in\nimmunocompromised patients and children under 5 years of age. The disease causes deaths of approximately 500 infants each\nyear. Conventional vaccine against the disease demonstrated immunological pitfalls to enhance T-helper responses and developed\nnon-neutralising antibodies. This study aimed to predict epitopes from the fusion F protein of SRV that elicit the immune system\nand acted as safer efficacious vaccine. A total of 199 strains of RSV were retrieved from the NCBI database. The immune epitope\ndatabase analysis resources (IEDB) were used for epitopes prediction against B and T cells. The population coverage was also\ncalculated for the proposed epitopes against the whole world. Only two epitopes (441-YVSNK-445 and 440-DYVS-443) successfully\npassed all B cell prediction tools and demonstrated higher score in Emini and Kolaskar and tongaonker software. Thus were\nproposed as B cells epitopes. For T cells, a total of 177 epitopes were found to interact with MHC-I alleles. Among them four\nepitopes (53-YTSVITIEL-61; 250-YMLTNSELL-258, 198-YIDKQLLPI-206, and 450-VSVGNTLYY-458) were proposed since they\ninteracted with the highest number of alleles and the best binding affinity to MHC-1 alleles. Moreover, a total of 397 core epitopes\nwere found to interact with MHC-П alleles. However, the best four core proposed epitopes that interacted with higher number of\nMHC-II alleles were 217-IETVIEFQQ-226; 250-YMLTNSELL-258; 477-FYDPLVFPS-485 and 505-FIRKSDELL-513. Strikingly\nthe epitope 250-YMLTNSELL-258 successfully interacted with both MHC-1and MHC-П alleles. The population coverage was\n48.61% and 99.64% for MHC-I and MHC-II epitopes, respectively, and 100% for all T cells epitopes. Taken together ten epitopes\nsuccessfully proposed as vaccine candidate against RSV. In vivo and in vitro clinical trials studies are required to elucidate the\neffectiveness of these epitopes as vaccine.","PeriodicalId":73657,"journal":{"name":"Journal of clinical & experimental immunology","volume":"40 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"In Silico Prediction of Multi-Epitopes Vaccine from the Fusion F Protein Against\\nRespiratory Syncytial Virus\",\"authors\":\"\",\"doi\":\"10.33140/jcei.05.02.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Respiratory Syncytial Virus (RSV) is the major cause of the lower respiratory tract illness (RTI) in the elderly and in\\nimmunocompromised patients and children under 5 years of age. The disease causes deaths of approximately 500 infants each\\nyear. Conventional vaccine against the disease demonstrated immunological pitfalls to enhance T-helper responses and developed\\nnon-neutralising antibodies. This study aimed to predict epitopes from the fusion F protein of SRV that elicit the immune system\\nand acted as safer efficacious vaccine. A total of 199 strains of RSV were retrieved from the NCBI database. The immune epitope\\ndatabase analysis resources (IEDB) were used for epitopes prediction against B and T cells. The population coverage was also\\ncalculated for the proposed epitopes against the whole world. Only two epitopes (441-YVSNK-445 and 440-DYVS-443) successfully\\npassed all B cell prediction tools and demonstrated higher score in Emini and Kolaskar and tongaonker software. Thus were\\nproposed as B cells epitopes. For T cells, a total of 177 epitopes were found to interact with MHC-I alleles. Among them four\\nepitopes (53-YTSVITIEL-61; 250-YMLTNSELL-258, 198-YIDKQLLPI-206, and 450-VSVGNTLYY-458) were proposed since they\\ninteracted with the highest number of alleles and the best binding affinity to MHC-1 alleles. Moreover, a total of 397 core epitopes\\nwere found to interact with MHC-П alleles. However, the best four core proposed epitopes that interacted with higher number of\\nMHC-II alleles were 217-IETVIEFQQ-226; 250-YMLTNSELL-258; 477-FYDPLVFPS-485 and 505-FIRKSDELL-513. Strikingly\\nthe epitope 250-YMLTNSELL-258 successfully interacted with both MHC-1and MHC-П alleles. The population coverage was\\n48.61% and 99.64% for MHC-I and MHC-II epitopes, respectively, and 100% for all T cells epitopes. Taken together ten epitopes\\nsuccessfully proposed as vaccine candidate against RSV. In vivo and in vitro clinical trials studies are required to elucidate the\\neffectiveness of these epitopes as vaccine.\",\"PeriodicalId\":73657,\"journal\":{\"name\":\"Journal of clinical & experimental immunology\",\"volume\":\"40 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of clinical & experimental immunology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33140/jcei.05.02.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of clinical & experimental immunology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33140/jcei.05.02.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In Silico Prediction of Multi-Epitopes Vaccine from the Fusion F Protein Against
Respiratory Syncytial Virus
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.