Figure 1.

N-to-1 NN architecture for predicting enzymatic class. An N-to-1 Neural Network. N copies of the network (only 3 represented for simplicity) process all the (overlapping) motifs of a predefined length in a sequence. The vectorial outputs f_k of these networks are added up and the resulting feature vector f is input to the network to produce the enzymatic class prediction.