In order to identify continuous B-cell epitopes effectively and to increase the success rate of experimental
identification, the modified Back Propagation artificial neural network (BP neural network)
was used to predict the continuous B-cell epitopes, and finally the predictive model for the
B-cells epitopes was established. Comparing with the other predictive models, the prediction performance
of this model is more excellent (AUC = 0.723). For the purpose of verifying the performance
of the model, the prediction to the SWISS PROT NUMBER: P08677 was carried on, and the
satisfying results were obtained.
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