Department of Structural Molecular Science, SOKENDAI (The Graduate University for Advanced Studies), Okazaki, Japan.
Department of Theoretical and Computational Molecular Science, Institute for Molecular Science, National Institutes of Natural Sciences, Okazaki, Japan.
J Comput Chem. 2023 Feb 5;44(4):534-545. doi: 10.1002/jcc.27020. Epub 2022 Nov 8.
In the replica-permutation method, an advanced version of the replica-exchange method, all combinations of replicas and parameters are considered for parameter permutation, and a list of all the combinations is prepared. Here, we report that the temperature transition probability depends on how the list is created, especially in replica permutation with solute tempering (RPST). We found that the transition probabilities decrease at large replica indices when the combinations are sequentially assigned to the state labels as in the originally proposed list. To solve this problem, we propose to modify the list by randomly assigning the combinations to the state labels. We performed molecular dynamics simulations of amyloid-β(16-22) peptides using RPST with the "randomly assigned" list (RPST-RA) and RPST with the "sequentially assigned" list (RPST-SA). The results show the decreases in the transition probabilities in RPST-SA are eliminated, and the sampling efficiency is improved in RPST-RA.
在复制-置换方法中,复制交换方法的一个高级版本,所有的副本和参数的组合都被考虑用于参数置换,并准备了所有组合的列表。在这里,我们报告说温度跃迁概率取决于列表的创建方式,特别是在带有溶质调温的副本置换(RPST)中。我们发现,当组合按照原始列表中的状态标签顺序分配时,在较大的副本指数下,跃迁概率会减小。为了解决这个问题,我们建议通过将组合随机分配给状态标签来修改列表。我们使用 RPST-RA(随机分配列表的 RPST)和 RPST-SA(顺序分配列表的 RPST)对淀粉样蛋白-β(16-22)肽进行了分子动力学模拟。结果表明,RPST-SA 中跃迁概率的减小得到消除,而 RPST-RA 中采样效率得到提高。