格子模型中蛋白质折叠的有效运动集

改进的遗传算法应用格子模型的一种新的运动集来优化蛋白质折叠过程。该新的运动集包含所有对称构象以及传统的运动模式，使其更适用于蛋白质折叠模拟。通过在格子模型中的实验我们发现，利用新的运动集明显优于传统使用的运动集。改进的遗传算法是一种进化算法，该算法适合搜索任何HP序列。

A New Move Set for Protein Folding in Lattice Model

An improved genetic algorithm applies the optimization procedures of protein folding through defining a new move set in lattice model.The new move set including rotation and mirror reflection is suitable for use in protein fold- ing simulation.Through folding simulation on a simple lattice model it is found that the new move set is dramatically superior to that of the commonly used move set.