Vaccination & COVID 19

To ensure that a vaccine remains effective over time, AI systems must identify components that are unlikely to change or mutate. In the search for a vaccine, a crucial role has been seen for computational analyses and machine learning algorithms. Messenger RNA (mRNA) vaccines. One of the newest and most exciting areas in vaccine technology is the use of mRNA vaccines. Unlike conventional vaccines—which can take many months or even years to cultivate—mRNA vaccines can be developed quickly using the pathogen's genetic code.

Improvements may include the addition of novel injectable adjuvants or the use of novel routes of delivery, including mucosal immunization. Mucosal delivery may be required to provide protection against pathogens that infect at mucosal sites, including sexually transmitted diseases. Computational biology also constitutes side-chain prediction tools to design an antibody and predict its structure. Different aspects of multi-graft, multivalent scaffolding, codon optimization, and antibodyomics tools to identify and design potential vaccine candidate are also well described.

As Pfizer scientists raced to develop their COVID-19 vaccine at record-breaking speed these past few months, they turned to an innovative artificial intelligence (AI) tool to help achieve this mission.