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The paper proposed a new method based on radial basis function neural networks for prediction of protein secondary structure. To make the algorithm comparable to other secondary structure prediction methods, we used the benchmark evaluation data set of 126 protein chains in this paper. We also analyzed how to use evolutionary information to enhance the prediction accuracy. The paper discussed the...
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