California Scientific      BrainMaker Neural Network Software
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BrainMaker Analysis of Transmembrane-spanning Protein Helices 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. INPUTS Ala_1 Ala_2 (etc...) Ala_25 Cys_1 Cys_2 (etc...) Cys_25 Asp_1 Asp_2 (etc...) Asp_25 Glu_1 Glu_2 (etc...) Glu_25 Phe_1 Phe_2 etc...) Phe_25 (repeated for the other 16 amino acids) OUTPUTS transmembrane nontransmembrane Reference: Dombi, G.W. and Lawrence, J, Analysis of protein transmembrane helical regions by a neural network, Protein Science (1994) 3:557-566.

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California Scientific      BrainMaker Neural Network Software