Immunoinformatics prediction of peptide-based vaccine against mers-corona-viruses

Abstract EN

MERS-corona-viruses cause massive and pandemic outbreaks of respiratory infection in several regions of continents' and revealed a global epidemic trend.

however, no effective antiviral drug or vaccine has been developed to treat coronavirus.

aim of the study to detect epitopes can be as vaccine.

a total of 28 outer spike glycoprotein (s) sequences of Corona-viruses were retrieved from the national center for biotechnology information database (NCBI) on them, several tests were conducted using immune epitope analysis database (IEDB) to detect the highly conserved immunogenic epitopes of B and T cells from which all possible epitopes that can be used as a therapeutic peptide vaccine to be selected.

Several conserved cytotoxic T-lymphocyte epitopes, linear and conformational B cell epitopes were predicted for corona-viruses spike glycoprotein and their antigenicity was calculated.

among b-cell epitopes 106–SQDVKQ-111 is antigenic and in the case of T cell epitopes, 279-FQFATLPVY-287 and 786-FSFGVTQEY-794 and 69-ITYQGLFPY-77 and, 924- AQYVAGYKV-938, 1271-ALNESYIDL-1285, and 1300-AGLVALALC-1314 are extremely antigenic promising for vaccination against corona-viruses they demonstrated population coverage against the whole world 91.81%.the study led to the discovery of various epitopes, conserved among various strains belonging to different countries.

the potential antigenic epitopes can be successfully utilized in designing novel vaccines for combating and eradication of MERS corona-viruses disease.