In Silico Design of Multiepitope Vaccine Candidate Against SARS CoV and CoV2

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Sreerama Krupanidhi

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Journal Paper

Paper Information

Journal: VACCINE RESEARCH Year:2020 | Volume:7 | Issue:2 Page(s): 61-73

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Information Journal Paper

Title

In Silico Design of Multiepitope Vaccine Candidate Against SARS CoV and CoV2

Author(s)

Sreerama Krupanidhi | Issue Writer Certificate

Keywords

COVID-19;Vaccination

Vaccine ethics

Vaccine hesitancy

Abstract

Introduction: The rampant widespread of COVID-19 crossing continents in the year 2020 is primarily because of its unique spike protein architecture. Hence, the spike protein sequence similarities among the representatives of coronaviruses were evaluated so as to arrive at possible conservancy in its epitopes. Methods: Multiple sequence alignment and molecular phylogenetic analysis were done using MEGA software version X. Clustal omega open software was adapted to develop Percent Identity Matrix of spike proteins. Online IEDB tools were used to explore linear epitopes within the RBD region of spike protein of SARS CoV2 isolate of Wuhan-Hu-1 and their conservancy across the species of the chosen CoVs. Results: The constructed phylogenetic tree showed a primary cluster between SARS CoV2s of Wuhan and Bangladesh strains. The branch length of this primary cluster reflected their recency in emergence. Further, this primary cluster developed as an offshoot of yet another primary cluster between SARS CoV and bat SARS CoV. All betacoronaviruses grouped as one tertiary cluster, wherein MERS CoV formed as an independent offshoot and its branch length reflected that it is phylogenetically older. Both SARS CoV2s are the closest relatives to SARS CoV and Bat SARS CoV of China, and hence the similar pattern was confirmed through MEGA analysis. Ten linear epitopes were identified within the RBD region of the spike protein for the population of the State of Andhra Pradesh among Indian Asians based on their HLA haplotype diversity. Further, Conservancy Analysis of spike protein suggested that SARS CoV2 and SARS CoV shared 53% predicted epitopes. The physicochemical features of the envisaged polytope indicated the presence of 12. 96% charged residues with instability index showing stable nature and more hydrophilicity as revealed through GRAVY values indicating that residues of polytope possibly interact well in aqueous environment. The secondary structure of the envisaged polytope showed predominantly coils, moderate number beta pleated sheets and α-helices with 41. 2% residues in favoured region and 44. 7% in allowed regions of Ramachandran Plot. Conclusion: The derived predicted scores of T-cell and B-cell immunogenicity, MHC class I binding, non-toxic and non-allergic due to the identified multi-epitope confirmed to be antigenic and elicit both T-cell and B-cell immune responses. Population coverage tool (IEDB) showed an adequate fraction of individuals predicted to respond to a given set of identified epitopes with known MHC restrictions in Indian Asian population.

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APA: Copy

Sreerama, Krupanidhi. (2020). In Silico Design of Multiepitope Vaccine Candidate Against SARS CoV and CoV2. VACCINE RESEARCH, 7(2), 61-73. SID. https://sid.ir/paper/679721/en

Vancouver: Copy

Sreerama Krupanidhi. In Silico Design of Multiepitope Vaccine Candidate Against SARS CoV and CoV2. VACCINE RESEARCH[Internet]. 2020;7(2):61-73. Available from: https://sid.ir/paper/679721/en

IEEE: Copy

Krupanidhi Sreerama, “In Silico Design of Multiepitope Vaccine Candidate Against SARS CoV and CoV2,” VACCINE RESEARCH, vol. 7, no. 2, pp. 61–73, 2020, [Online]. Available: https://sid.ir/paper/679721/en

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