Prediction Protein Secondary Structure by Improved BP Neural Network

Predicting protein structure plays an important role in bioinformatics. In this process the pivotal step is predicting from protein sequence to secondary structure. Considering the disadvantages of standard BP arithmetic, it introduces several improved BP neural networks to predict protein secondary structure, which apply MATLAB to initialize BP neural networks, and analyses the precisions of prediction. The experiment has proved that a high precision can be achieved by the improved BP network which combines genetic algorithm with method of momentum and strategy that is adopted for adjusting learning efficiency.