	Then, by using neural networking, initial secondary structure is predicted. For each amino acid in the sequence, the neural network is fed with a window of 15 acids. Added information is attached, indicating if the window spans the N or C terminus of the chain. This results in a final input layer of 315 input units, divided into 15 groups of 21 units. The network has one hidden layer of 75 units and 3 output nodes (one for each secondary structure element: helix, sheet, coil).