Before revision:  Thus, we provide proof of concept for high-speed, low-cost protein structure classification at low resolution . We explore the relationship between the information content of the input image and the predictive power of the model, achieving state of the art performance on homologous superfamily prediction with maps of interatomic distance.
After revision:  Thus, we provide proof of concept for high-speed, low-cost protein structure classification at low resolution , and a basis for extension to prediction of function. We investigate the impact of the input image and the predictive power of the model, achieving state of the art performance on homologous superfamily prediction with maps of interatomic distance.