Predicting the three-dimensional structure of a protein from its amino acid sequence is an important and difficult problem. We present an integrated approach that uses an artificial neural network to predict the spatial proximity of the amino acids in the sequence. Mathematica routines are developed to view the protein structure and to visualize and evaluate the results of the neural network.
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