Before revision:  In this study, we demonstrate that it is possible to make accurate \geq80 predictions of protein fold taxonomy from structures determined at low (> 3 Angstroms ) resolution, using a deep convolutional neural network trained on high-resolution structures ( Angstroms)\leq3A .
After revision:  In this study, we demonstrate that it is possible to make accurate \geq80 predictions of protein fold taxonomy from structures determined at low (> 3 Angstroms ) resolution, using a deep convolutional neural network trained on high-resolution structures ( Angstroms)\leq3A) structures represented as 2D matrices .