henhaobio
Sign in

Journal of Molecular LiquidsBioinformaticsPeer-reviewed journal article

Immuno-informatics Characterization SARS-CoV-2 Spike Glycoprotein for Prioritization of Epitope based Multivalent Peptide Vaccine

Saba IsmailiD, Sajjad AhmadiD, Syed Sikander AzamiD

PDFDOIPreprint

Abstract

The COVID-19 pandemic caused by SARS-CoV-2 is a public-health emergency of international concern and thus calling for the development of safe and effective therapeutics and prophylactics particularly a vaccine to protect against the infection. SARS-CoV-2 spike glycoprotein is an attractive candidate for vaccine, antibodies and inhibitor development because of many roles it plays in attachment, fusion and entry into the host cell. In this study, we characterized the SARS-CoV-2 spike glycoprotein by immune-informatics techniques to put forward potential B and T cell epitopes, followed by the use of epitopes in construction of a multi-epitope peptide vaccine construct (MEPVC). The MEPVC revealed robust host immune system simulation with high production of immunoglobulins, cytokines and interleukins. Stable conformation of the MEPVC with a representative innate immune TLR3 receptor was observed involving strong hydrophobic and hydrophilic chemical interactions, along with enhanced contribution from salt-bridges towards inter-molecular stability. Molecular dynamics simulation in solution aided further in interpreting strong affinity of the MEPVC for TLR3. This stability is the attribute of several vital residues from both TLR3 and MEPVC as shown by radial distribution function (RDF) and a novel analytical tool axial frequency distribution (AFD). Comprehensive binding free energies estimation was provided at the end that concluded major domination by electrostatic and minor from van der Waals. Summing all, the designed MEPVC has tremendous potential of providing protective immunity against COVID-19 and thus has the potential to be considered in experimental studies.

Citations
63
FWCI
4.38
Field percentile
top 4%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSelvaraj '21Yazdani '20Marchan '20Chukwudozie '20Agarwal '20Moghri '21
80% semantic matchBioinformatics
Gracy Fathima Selvaraj, Kiruba Ramesh, Padmapriya Padmanaban+5 more·bioRxiv·Mar 15, 2021· 1 citations