{"title":"用VP5和VP7蛋白预测蓝舌病毒4型多表位疫苗的计算分析","authors":"","doi":"10.33140/jcei.05.02.03","DOIUrl":null,"url":null,"abstract":"Blue Tongue Disease (BTD) is a non-contagious insect transmitted disease of ruminants caused by double stranded RNA virus.\nThis study aimed to predict an effective multi-epitopes vaccine against BTD from VP5 and VP7 as immunogenic proteins using\nimmunoinformatic tools. The VP5 and VP7 proteins sequences were retrieved from GenBank of National Center for Biotechnology\nInformation (NCBI). The sequences of each protein were aligned for conservancy using Bioedit software. Immune Epitope\nDatabase (IEDB) analysis resources were used to predict B and T cell epitopes. The proposed MHC-1 epitopes of both proteins\nwere further subjected to molecular docking to show minimum binding energy of each epitopes. In our results, two epitopes\n(235-SEEV-235 and 85-PDPLSP-90) from VP5 and two epitopes (79-PISPDYTQ-86 and 297-PIFPPN-302) from VP7 were\nproposed as B cell epitopes since they were shown to be linear, surface accessible and antigenic epitopes. For T cells, MHC-1\nbinding prediction tools showed multiple epitopes strongly interacted with BoLA alleles from both VP5 and VP7. Among them\nthree epitopes, (257-KLKKVINAL-265, 487-QMHILRGPL-495 and 350-VMMRFKIPR-358) fromVP5 protein and four epitopes\n(86-QHMATIGVL-94, 315-TLADVYTVL-323, 17-TLQEARIVL-25 and 10-TVMRACATL-18) from VP7 protein interacted\nwith the highest number of alleles and demonstrated best binding affinity to MHC-1 alleles. Thus were proposed as a vaccine\ncandidate from VP5 and VP7 proteins. All the epitopes from VP5 and VP7 that interacted with MHC-1 alleles when subjected\nto molecular docking against the sheep b_microglobulin alleles demonstrated biologically significant higher binding affinity\nwhich expressed by their lower global and attractive energy. In conclusion, eleven epitopes were predicted as promising vaccine\ncandidates against BTD from the VP5 and VP7 immunogenic proteins. These epitopes require to be validated experimentally\nthrough in vitro and in vivo studies.","PeriodicalId":73657,"journal":{"name":"Journal of clinical & experimental immunology","volume":"32 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational Analysis for Prediction of Multi Epitopes Vaccine against Blue\\nTongue Virus Serotype 4 from VP5 and VP7 Proteins\",\"authors\":\"\",\"doi\":\"10.33140/jcei.05.02.03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Blue Tongue Disease (BTD) is a non-contagious insect transmitted disease of ruminants caused by double stranded RNA virus.\\nThis study aimed to predict an effective multi-epitopes vaccine against BTD from VP5 and VP7 as immunogenic proteins using\\nimmunoinformatic tools. The VP5 and VP7 proteins sequences were retrieved from GenBank of National Center for Biotechnology\\nInformation (NCBI). The sequences of each protein were aligned for conservancy using Bioedit software. Immune Epitope\\nDatabase (IEDB) analysis resources were used to predict B and T cell epitopes. The proposed MHC-1 epitopes of both proteins\\nwere further subjected to molecular docking to show minimum binding energy of each epitopes. In our results, two epitopes\\n(235-SEEV-235 and 85-PDPLSP-90) from VP5 and two epitopes (79-PISPDYTQ-86 and 297-PIFPPN-302) from VP7 were\\nproposed as B cell epitopes since they were shown to be linear, surface accessible and antigenic epitopes. For T cells, MHC-1\\nbinding prediction tools showed multiple epitopes strongly interacted with BoLA alleles from both VP5 and VP7. Among them\\nthree epitopes, (257-KLKKVINAL-265, 487-QMHILRGPL-495 and 350-VMMRFKIPR-358) fromVP5 protein and four epitopes\\n(86-QHMATIGVL-94, 315-TLADVYTVL-323, 17-TLQEARIVL-25 and 10-TVMRACATL-18) from VP7 protein interacted\\nwith the highest number of alleles and demonstrated best binding affinity to MHC-1 alleles. Thus were proposed as a vaccine\\ncandidate from VP5 and VP7 proteins. All the epitopes from VP5 and VP7 that interacted with MHC-1 alleles when subjected\\nto molecular docking against the sheep b_microglobulin alleles demonstrated biologically significant higher binding affinity\\nwhich expressed by their lower global and attractive energy. In conclusion, eleven epitopes were predicted as promising vaccine\\ncandidates against BTD from the VP5 and VP7 immunogenic proteins. These epitopes require to be validated experimentally\\nthrough in vitro and in vivo studies.\",\"PeriodicalId\":73657,\"journal\":{\"name\":\"Journal of clinical & experimental immunology\",\"volume\":\"32 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-18\",\"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.05.02.03\",\"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.05.02.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computational Analysis for Prediction of Multi Epitopes Vaccine against Blue
Tongue Virus Serotype 4 from VP5 and VP7 Proteins
Blue Tongue Disease (BTD) is a non-contagious insect transmitted disease of ruminants caused by double stranded RNA virus.
This study aimed to predict an effective multi-epitopes vaccine against BTD from VP5 and VP7 as immunogenic proteins using
immunoinformatic tools. The VP5 and VP7 proteins sequences were retrieved from GenBank of National Center for Biotechnology
Information (NCBI). The sequences of each protein were aligned for conservancy using Bioedit software. Immune Epitope
Database (IEDB) analysis resources were used to predict B and T cell epitopes. The proposed MHC-1 epitopes of both proteins
were further subjected to molecular docking to show minimum binding energy of each epitopes. In our results, two epitopes
(235-SEEV-235 and 85-PDPLSP-90) from VP5 and two epitopes (79-PISPDYTQ-86 and 297-PIFPPN-302) from VP7 were
proposed as B cell epitopes since they were shown to be linear, surface accessible and antigenic epitopes. For T cells, MHC-1
binding prediction tools showed multiple epitopes strongly interacted with BoLA alleles from both VP5 and VP7. Among them
three epitopes, (257-KLKKVINAL-265, 487-QMHILRGPL-495 and 350-VMMRFKIPR-358) fromVP5 protein and four epitopes
(86-QHMATIGVL-94, 315-TLADVYTVL-323, 17-TLQEARIVL-25 and 10-TVMRACATL-18) from VP7 protein interacted
with the highest number of alleles and demonstrated best binding affinity to MHC-1 alleles. Thus were proposed as a vaccine
candidate from VP5 and VP7 proteins. All the epitopes from VP5 and VP7 that interacted with MHC-1 alleles when subjected
to molecular docking against the sheep b_microglobulin alleles demonstrated biologically significant higher binding affinity
which expressed by their lower global and attractive energy. In conclusion, eleven epitopes were predicted as promising vaccine
candidates against BTD from the VP5 and VP7 immunogenic proteins. These epitopes require to be validated experimentally
through in vitro and in vivo studies.