Scientists Develop New Method To Counter Mutations In Coronavirus Using AI Method

Researchers have developed a new method using artificial intelligence (AI) to counter emergent mutations of the coronavirus. They say it can hasten vaccine development to stop the pathogen. The study, from the University of Southern California (USC), has been published in the journal Nature Scientific Reports, The New Indian Express (TNIE) reported.

The method will speed up the analysis of vaccines and zero in on the best potential preventive medical therapy. The method is easily adaptable to analyse potential mutations of the virus, ensuring the best possible vaccines are quickly identified. Vaccine design cycles that once took months or years can be accomplished in seconds and minutes with the machine-learning model, the study said.

“This AI framework, applied to the specifics of this virus, can provide vaccine candidates within seconds and move them to clinical trials quickly to achieve preventive medical therapies without compromising safety. Moreover, this can be adapted to help us stay ahead of the coronavirus as it mutates around the world,” the USC quoted Paul Bogdan, associate professor of electrical and computer engineering, and corresponding author of the study as saying.

How did the model work?

When applied to SARS-CoV-2, the computer model quickly eliminated 95% of the compounds that could have possibly treated the pathogen and pinpointed the best options, the study said.

The AI-assisted method predicted 26 potential vaccines that would work against the coronavirus. From those, the scientists identified the best 11 from which to construct a multi-epitope (region) vaccine, which can attack the spike proteins that the coronavirus uses to infect a host cell.

Tags: coronavirus University of Southern California