A deep mutational scanning-informed protein language model predicts SARS-CoV-2 evolution dynamics with spatiotemporal resolution.

Abstract excerpt

Early identification of emerging dominant variants of pathogens such as SARS-CoV-2 is important for effective public health responses, yet existing approaches are not feasible for real-time surveillance. Here we introduce DeepCoV (DMS-Empowered Evolution Prediction of CoronaVirus), a deep-learning framework for the dynamic identification of emerging variants with high potential to become prevalent at...

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