MIT researchers devised a new way to computationally look at viral escape, based on models that were originally developed to analyze language. Their model can predict which sections of viral surface proteins are more likely to mutate in a way that enables viral escape. It can also identify sections that are less likely to mutate, making them good targets for new vaccines, possibly even one for cancer.
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