A Kohonen self-organizing map for the functional classification of proteins based on one-dimensional sequence information

There are many examples where neural networks have been effectively used to predict protein secondary and tertiary structure from the primary sequence data. We describe the use of a Kohonen self-organizing map (SOM) to categorise proteins based on secondary structure, and attempt to relate this information to functional data.