Protein Conformation Prediction Based on Parallel Genetic Algorithm
基于并行遗传算法的蛋白质空间结构预测

For the prediction of protein structure, we propose the solution based on parallel genetic algorithm. This solution has modified the existing algorithm by omitting the process of simulated annealing, while compensating this modification by parallel programming to maintain the results quality. Experiments have demonstrated that the new solution has higher processing speed and same results quality. This solution also underlines the necessity of introducing the idea of parallel programming into the study of bioinformatics.