science
A Model Uses ACE2 Sequences to Predict SARS-CoV-2 Host Range
A bioRxiv preprint describes a transformer model trained on 8.8 million measured SARS-CoV-2 RBD–ACE2 interactions. It predicts receptor-binding compatibility across animal species and pairs predictions with uncertainty estimates to help prioritise surveillance.