|
Immuno-informatics approach based epitopes prediction for vaccine design against Severe Acute Respiratory Syndrome Coronavirus -2
|
|
| Author:
|
SUBHASHREE VENUGOPAL, PRIYANKA SANKAR
|
| Abstract:
|
Severe Acute Respiratory Syndrome Coronavirus -2 (COVID-19) outbreak worldwide which is rapidly spreading through human transmission is increasing the mortality rates. It is a serious concern for the clinicians to treat the infected from respiratory complications. But, there are no suitable medicines available for immediate therapy. Hence, development of vaccines for the COVID-19 is the primary focus of the researchers. Immuno- informatics based approach for identifying the highly immunogenic B and T-cell epitopes of the surface glycoprotein of the SARS-CoV-2 was performed in IEDB server. The chosen epitopes were analysed for the binding potential with the MHC alleles using Patch dock server. The results revealed greater binding interactions between the selected peptides and MHC-Dd allele (co-crystallised with TAPBPR). Recognized epitopes may serve as target candidates for development of vaccines to combat the dreadful communicable infectious disease.
|
| Keyword:
|
SARS-CoV-2, surface glyco protein, T-cell epitopes, B-cell epitopes, Immuno informatics
|
| EOI:
|
-
|
| DOI:
|
-
|
| Download:
|
Request For Article
|
|
|