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has been cited by the following article:

• TITLE: Theoretical Study of Continuous B-Cell Epitopes with Developed BP Neural Network

  AUTHORS: Yajie Cao, Jinglin Liu, Tao Liu, Dejiang Liu, Yunfei Wu

  KEYWORDS: Continuous B-Cell Epitopes, BP Neural Network, Theory Method, Predictive Model

  JOURNAL NAME: Computational Chemistry, Vol.4 No.3, July 26, 2016

  ABSTRACT: 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.