Author: Anamika Basu; Anasua Sarkar; Ujjwal Maulik
Title: Strategies for vaccine design for corona virus using Immunoinformatics techniques Document date: 2020_3_2
ID: 618glydc_47
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.02.27.967422 doi: bioRxiv preprint An important factor in vaccine design is the distribution of selected HLA allelic protein. This distribution varies among the human population according to the population in different geographic regions of the world. Our predicted T cell epitope, 76 PTDTYTSVY 84 , bound with MHC I HLA-A*01:01 allele, which .....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.02.27.967422 doi: bioRxiv preprint An important factor in vaccine design is the distribution of selected HLA allelic protein. This distribution varies among the human population according to the population in different geographic regions of the world. Our predicted T cell epitope, 76 PTDTYTSVY 84 , bound with MHC I HLA-A*01:01 allele, which is present among 58.87% and 45.77% of Chinese and Indian populations respectively and 50.16% of world populations. So, it may be concluded that the predicted T cell epitope must be specifically restricted with the predominant MHC molecule, which is present in target population in India and China, as well as in whole world against coronavirus.
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