Prediction of infectivity of SARS-CoV-2 virus based on Spike-hACE-2 interaction

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Abstract

The COVID-19 pandemic caused by SARS-CoV-2 results almost 3 M death worldwide and till continuing in spite of having several vaccine against the virus. One of the main reasons is the mutations occur in the virus to cope with the environment. Detail study of genomics and proteomics level of each components may help to combat the situation. Spike (S) protein that covers the surface of the virus helps in entry by encountering the host receptor Human Angiotensin-Converting Enzyme-2 (hACE-2) with other different roles. In this study, we accomplish our work with the mutations in receptor binding domain (RBD) of Spike (S) protein considering different aspects like the hACE-2 variants in human populations to get an idea about the varying infectivity of different strains for different population. Several other parameters affecting the viral infectivity and in different diseased condition were also studied which may guide to a better insight in developing future therapeutics.

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APA

Chaudhuri, D., Datta, J., Majumder, S., & Giri, K. (2022). Prediction of infectivity of SARS-CoV-2 virus based on Spike-hACE-2 interaction. VirusDisease, 33(3), 244–250. https://doi.org/10.1007/s13337-022-00781-z

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