A method for predicting protein folding based on a quantum genetic algorithm
Zhang Jianpei · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2010
In order to increase the accuracy of predictions of protein folding,a predictive strategy using an improved quantum genetic algorithm with a local search was developed.In this method,step lengths for dynamically adjusting the angle of the quantum gate and quantum mutation operators were introduced,therefore high performance optimization was achieved.Local structural transformation was carried out in the local search;this was based on rules for optimizing results from the quantum genetic algorithm.Because this structural transformation can be derived by moving only a few vertices,the efficiency of optimization increased.Simulation results showed the method effectively improves the predictive accuracy of protein folding in comparison with other methods.