Comparison of Two Variations of Neural Network Approaches to the Prediction of Protein Folding Pattern

I. Dubchak, S. R. Holbrook, and S. -H. Kim

We have designed, trained and tested two types of neural networks for the prediction of protein folding pattern from sequence. Here we describe the differences in the networks and compare their performance on a variety of proteins. Both network representations are generally successful in predicting protein fold and can also be used together to confirm a prediction.

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