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From
Multi Epitopes Vaccine Prediction against Severe Acute Respiratory Syndrome (SARS) Coronavirus Using Immunoinformatics Approaches
Yassir A. Almofti, Khoubieb Ali Abd-elrahman, Sahar Abd Elgadir Gassmallah, Mohammed Ahmed Salih
American Journal of Microbiological Research
.
2018
, 6(3), 94-114 doi:10.12691/ajmr-6-3-5
Table 1. 131retrieved strains with accession numbers, countries and year of collection
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Table 2. B-cell epitopes prediction, the position of peptides is according to the position of amino acids in the spike S protein of SARS CoA virus
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Table 3. List of epitopes that had binding affinity with MHC-I alleles. The position of peptides is according to position of amino acids in spike S protein of SARS CoA virus
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Table 4. List of top four epitopes that had binding affinity with MHC-II alleles. The position of peptides is according to position of amino acids in spike S protein of SARS-CoA virus
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Table 5. The predicted epitopes and the number of the MHC-1 and/or MHC-П interacted alleles
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Table 6. The population coverage against the whole world for the predicted epitopes. The first three epitopes were found to be interacted with both MHC-1 and MHC-11 with good population coverage, while the epitopes MIAAYTAAL and FNFSQILPD demonstrated higher population coverage only in MHC-1 and MHC-11 respectively. The overall population coverage epitope set for all predicted epitopes in MHC-1 and MHC-11 was 100%
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