Abstract
Since the onset of the COVID-19 pandemic, a number of approaches have been adopted by the scientific communities for developing efficient vaccine candidate against SARS-CoV-2. Conventional approaches of developing a vaccine require a long time and a series of trials and errors which indeed limit the feasibility of such approaches for developing a dependable vaccine in an emergency situation like the COVID-19 pandemic. Hitherto, most of the available vaccines have been developed against a particular antigen of SARS-CoV, spike protein in most of the cases, and intriguingly, these vaccines are not effective against all the pathogenic coronaviruses. In this context, immunoinformatics-based reverse vaccinology approaches enable a robust design of efficacious peptide-based vaccines against all the infectious strains of coronaviruses within a short frame of time. In this chapter, we enumerate the methodological trajectory of developing a universal anti-SARS-CoV-2 vaccine, namely, “AbhiSCoVac,” through advanced computational biology-based immunoinformatics approach and its in-silico validation using molecular dynamics simulations.
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Acknowledgments
JB and SM acknowledge Department of Science & Technology (DST)-Science & Engineering Research Board (SERB), Govt. of India (Sanction no. CRG/2021/002605), for providing core research grant to them. All the uncited articles which have not been cited due to space limitations are respectfully acknowledged. We acknowledge the use of BioRender.com for making of the illustrations.
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Chakraborty, A., Bayry, J., Mukherjee, S. (2023). Immunoinformatics Approaches in Designing Vaccines Against COVID-19. In: Reche, P.A. (eds) Computational Vaccine Design. Methods in Molecular Biology, vol 2673. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3239-0_29
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DOI: https://doi.org/10.1007/978-1-0716-3239-0_29
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