It is not in doubt that how the structure and dynamics of a protein change upon mutation contains valuable information that can, in theory, be used to predict whether individual mutations confer antibiotic resistance. An alternative route, which is much less computationally intensive, is to train machine learning models using structural and chemical input features. This is the focus of future