Pangenome Analysis of SARS-Cov2 Strains to Identify Potential Vaccine Targets by Reverse Vaccinology

Author(s): Haseeb M, Amir A, Ikram A

Background: Coronavirus disease 2019 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) leads to respiratory failure and obstructive alveolar damage, which may be fatal in immunocompromised individuals. COVID19 pandemic has badly affected every part of world, and still situation in world is getting worse with emergence of novel variants. The aim of our study is to explore the genome of SARS-CoV2 followed by in silico reverse vaccinology analysis. This will help to identify the most putative vaccine candidate against the virus in robust manner and enables cost effective development of vaccines compared with traditional strategies.

Methods: The genomic sequencing data is retrieved from NCBI (Reference Sequence Number NC_045512.2). The sequences are explored through comparative genomics approaches by GENOMICS to find out the core genome. Comprehensive set of proteins obtained was employed in computational vaccinology approaches for prediction of best possible B and T cell epitopes through ABCpred and IEDB Analysis Resource, respectively. The multi-epitopes were further tested against human toll like receptor and cloned in E. coli plasmid vector in silico.

Findings: The designed Multiepitope Subunit Vaccine was non- allergenic, antigenic (0.6543), and non-toxic, significant connections with the Human Leukocyte Antigen (HLA) binding alleles, and collective global population coverage of 84.38%. It has 276 amino acids, consisting of an adjuvant with the aid of EAAAK linker, AAY linkers used to join the 4 CTL epitopes, GPGPG linkers used to join the 3 HTL epitopes and KK linkers used to join the 7 B-cell epitopes. MESV docking with human pathogenic toll-like receptors-3 (TLR3) exhibited a stable and high binding affinity. An in-silico codon optimization approach was used in the codon system of E. coli (

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