ACE2 and COVID-19: Our machine learning methods–which predict the impact of RBD mutations on both ACE2 and human serum antibody escape–illustrate this potential via the identification of both novel and circulating SARS-CoV-2 RBD mutations with enhanced transmissibility and should provide a valuable framework for future predictions aimed at mitigating COVID-19.