通过模拟退火最小化丙氨酸二肽的能量

R. Rodosek, D. Zupanic
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引用次数: 0

摘要

本文提出了一种推导能量最小的多肽链三维结构的方法。众所周知的优化算法通常应用于包含原子坐标硬约束的模型。这种策略的缺点是对最优解的搜索效率不高。作者的方法分两步进行:首先,将标准模型转化为没有硬约束的等效模型;其次,执行模拟退火局部搜索算法。实验结果表明,该模型的模拟退火算法优于传统的搜索算法,特别是在运行时间方面。
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Minimising the energy of the alanine dipeptide by simulated annealing
The paper presents an approach for deriving 3-D structures of polypeptide chains which have minimum energy. The well-known optimisation algorithms are usually applied on the model which contains hard constraints over coordinates of the atoms. The drawback of such strategies is an inefficient search for the optimal solution. The authors' approach proceeds in two steps: first, the standard model is transformed into an equivalent model without hard constraints, and second, the simulated annealing local search algorithm is performed. The empirical results demonstrate that simulated annealing on the proposed model outperforms traditional search algorithms especially with respect to running times.
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