Science, Space and Technology News 2023
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As the COVID-19 pandemic hit and progressed, the world was caught off guard by SARS-CoV-2’s impressive ability to evolve. The virus kept morphing, changing its structure in ways subtle and substantial to slip past vaccines and therapies designed to defeat it. They took the generative model from EVE — which can predict mutations in viral proteins that won’t interfere with the virus’s function — and added biological and structural details about the virus, including information about regions most easily targeted by the immune system.
“It’s as if you have a time machine. You go back to day one, and you say, I only have that data, what am I going to say is happening?” Marks said.similar to this of experimental approaches that test the virus’s ability to bind to antibodies made by the immune system. EVEscape outperformed experimental approaches in predicting which of those mutations would be most prevalent.
“By rapidly determining the threat level of new variants, we can help inform earlier public health decisions,” said co-lead author Sarah Gurev, a graduate student in the Marks lab from the Electrical Engineering and Computer Science program atIn a final step, the team demonstrated that EVEscape could be generalized to other common viruses, including HIV and influenza.
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