This paper used the RBF neural network to predict protein-protein interaction sites.First,a series of features that can represent protein interaction sites,including sequence profiles,entropy,conservation weight,complex accessible surface area,sequence variability and so on,were extracted.Then,RBF neural network and their integrated approaches were applied to train and test these sample sets.In experiments,ten times cross-validation were used to predict the four sets of data respectively.The accuracy of pre...
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