Figure 1.

N-to-1 NN architecture for predicting enzymatic class. An N-to-1 Neural Network. N copies of the <a onClick="popup('http://www.biomedcentral.com/1471-2105/14/S1/S11/mathml/M15','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/14/S1/S11/mathml/M15">View MathML</a> network (only 3 represented for simplicity) process all the (overlapping) motifs of a predefined length in a sequence. The vectorial outputs fk of these networks are added up and the resulting feature vector f is input to the <a onClick="popup('http://www.biomedcentral.com/1471-2105/14/S1/S11/mathml/M17','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2105/14/S1/S11/mathml/M17">View MathML</a> network to produce the enzymatic class prediction.

Volpato et al. BMC Bioinformatics 2013 14(Suppl 1):S11   doi:10.1186/1471-2105-14-S1-S11