Computational Intelligence in Vaccine Design Against COVID-19

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Abstract

The pandemic Novel coronavirus disease (COVID-19) was aggressively expanding throughout the world, and no effective vaccines and drugs are available. Giant pharmaceutical industries and researchers use computer intelligence coupled with bioinformatics knowledge to accelerate the development process of designing an effective vaccine against SARS-CoV-2, a time-consuming, complicated, intricate, and complex process. Supercomputers are used to give power to the Artificial Intelligence (AI) and Machine Learning (ML) assistance for structural modeling of unresolved protein, molecular dynamics simulation (MD) of the modeled protein structure, target finding, selection of B and T cell epitopes and simulations study for vaccine development. In this chapter, we described an in-depth overview on the use and impact of various revolutionary and game-changing technology of computer intelligence like AI and ML which with the guide of computational biology, bioinformatics, structural biology, and genomics paved the way in understanding, design, and development of vaccines at a much diminished time and minimal cost. Various software and tools used in the developmental process are also consolidated here. Finally, the limitations and future prospects of overcoming the global crisis and tackling pandemics with the help of computational intelligence are speculated here.

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APA

Bharadwaj, K. K., Srivastava, A., Panda, M. K., Singh, Y. D., Maharana, R., Mandal, K., … Kabi, S. K. (2021). Computational Intelligence in Vaccine Design Against COVID-19. In Studies in Computational Intelligence (Vol. 923, pp. 311–329). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-8534-0_16

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