Dr. George Dombi of Wayne State University has developed neural networks which generalize common themes found in peptides of 25 amino acid length. The sequences were sorted into two groups: transmembrane or nontransmembrance type. 1751 training examples were used. As a result of training, bacteriohodopsin was examined to determine the position of it 7 transmembrane helices.
Using several training and testing experimental procedures, test results were obtained with up to 98% accuracy. A symbolic rather than numeric representation was used. For example, the alanine position 22 was represented by the input A22 being either on or off.
(repeated for the other 16 amino acids)
Dombi, G.W. and Lawrence, J, Analysis of protein transmembrane helical regions by a neural network, Protein Science (1994) 3:557-566.