Multi-epitope Based Peptide Vaccine Design Using Three Structural Proteins (S, E, and M) of SARS-CoV-2: AnIn SilicoApproach

Antigenicity Peptide vaccine Coronavirus Epitope mapping Docking (animal)
DOI: 10.1101/2020.06.13.149880 Publication Date: 2020-06-14T05:05:17Z
ABSTRACT
Abstract Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is the novel coronavirus responsible for ongoing pandemic of disease (COVID-19). No sustainable treatment option available so far to tackle such a public health threat. Therefore, designing suitable vaccine overcome this hurdle asks immediate attention. In study, we targeted design multi-epitope based using immunoinformatics tools. We considered structural proteins S, E and, M SARS-CoV-2, since they facilitate infection virus into host cell and different bioinformatics tools servers, predicted multiple B-cell T-cell epitopes having potential required design. Phylogenetic analysis provided insight on ancestral molecular changes evolutionary relationship E, proteins. Based antigenicity surface accessibility these proteins, eight were selected by various B T epitope prediction Molecular docking was executed interpret binding interactions three WTAGAAAYY, YVYSRVKNL, GTITVEELK their noticeable higher affinity scores −9.1, −7.4, −7.0 kcal/mol, respectively. Targeted had 91.09% population coverage worldwide. summary, identified most significant properties peptide-based against SARS-CoV-2.
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