Vaccine Design through Machine Learning and Nanotechnologyto Terminate COVID-19 Pandemic

Abstract

The COVID-19 vaccine development involves high-tech platforms such as viral vectors, antigen carriers, and delivery technology. Nanotechnology tools can play a pivotal role in advancing COVID-19 treatment and vaccine design. Information related to the structural morphology of the SARS-CoV-2 virus, its pathophysiology, and related immunological response is the most important factor at the nanotechnology point of view. In the absence of a specific antiviral against SARS- CoV-2, present therapeutics target the multifaceted molecular interactions involved in viral infections and major comprises repurposing already existing antiviral molecules used for other RNA viruses. Furthermore, various kinds of vaccine candidate’s structure could be screened by using ma- chine learning. Recently, it is equally important to look for a suitable Nano-carrier delivery technology to make these repurposed therapeutics as well as new vaccine development safer and more effective affordable methodologies so that nanotechnology can reach patients.