Emap2sec uses convolutional deep neural network as its core algorithm and assigns a secondary structure to each of the grid points in an EM map.
(1) Data generation from an input EM map - This step takes in your EM map and formats the map file into an input file for Emap2sec.
(2) Emap2sec phase1 - This is the first phase of our deep learning model consisting of a convolutional neural network (CNN) for local structure detection.
(3) Emap2sec phase2 - This is the second step of our deep learning model and it essentially performs prediction smoothing to eliminate obvious false positives and false negatives.
(4) Voxel-wise secondary structure (SS) assignment - The final step that gives out secondary structure assignments for your EM map.