How accurate are your simulations? Effects of confined aqueous volume and AMBER FF99SB and CHARMM22/CMAP force field parameters on structural ensembles of intrinsically disordered proteins: Amyloid-β42 in water.

Intrinsically disordered proteins Pub Date : 2017-10-30 eCollection Date: 2017-01-01 DOI:10.1080/21690707.2017.1377813
Orkid Coskuner Weber, Vladimir N Uversky
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引用次数: 34

Abstract

Amyloid-β42 (Aβ42) is an intrinsically disordered peptide intimately related to the pathogenesis of several neurodegenerative diseases. Molecular dynamics (MD) simulations are extensively utilized in the characterization of the structures and conformational dynamics of intrinsically disordered proteins (IDPs) including Aβ42, with AMBER and CHARMM parameters being commonly used in these studies. Recently, comparison of the effects of force field parameters on the Aβ42 structures has started to gain significant attention. In this study, the structures of Aβ42 are simulated using AMBER FF99SB and CHARMM22/CMAP parameters via replica exchange MD simulations utilizing a widely used clustering algorithm. These analyses show that the structural properties (extent and positioning of the elements of secondary and tertiary structure), radius of gyration values, number and position of salt bridges are extremely dependent on the chosen force field parameters notably with the usage of clustering algorithms. For example, predicted secondary structure elements, which are of the great importance for better understanding of the molecular mechanisms of neurodegenerative diseases, deviate enormously in models generated using currently available force field parameters for proteins. Based on the derived models, chemical shift values are calculated and compared to the experimentally determined data. This comparison revealed that although both force field parameters yield results in agreement with experiments, the obtained structural properties were rather different using a clustering algorithm. In other words, these results show that the predicted structures depend heavily on the force field parameters. Importantly, since none of the force field parameters currently utilized in MD studies were developed specifically taking into account the disordered nature of IDPs, these findings clearly indicate that new force field parameters have to be developed for IDPs considering their rapid flexibility and dynamics with high amplitude. Furthermore, molecular simulations of IDPs are typically conducted using one water volume. We show that the confined aqueous volume impacts the predicted structural properties of Aβ42 in water. Although up to date, confined aqueous volume effects have been ignored in the MD simulations of IDPs in water, our data indicate that these effects have to be taken into account in predicting the structural and thermodynamic properties of disordered proteins in solution.

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你的模拟有多准确?限定水体积、AMBER FF99SB和CHARMM22/CMAP力场参数对水中内在无序蛋白:淀粉样蛋白-β42结构集成的影响
淀粉样蛋白-β42 (a -β42)是一种内在紊乱的肽,与多种神经退行性疾病的发病机制密切相关。分子动力学(MD)模拟被广泛用于表征包括a - β42在内的内在无序蛋白(IDPs)的结构和构象动力学,AMBER和CHARMM参数是这些研究中常用的参数。近年来,比较力场参数对Aβ42结构的影响开始引起人们的广泛关注。在本研究中,利用AMBER FF99SB和CHARMM22/CMAP参数,利用广泛使用的聚类算法,通过复制交换MD模拟a - β42的结构。分析结果表明,采用聚类算法时,结构性质(二级和三级结构单元的范围和位置)、旋转半径值、盐桥的数量和位置与所选择的力场参数有极大的相关性。例如,预测的二级结构元素对于更好地理解神经退行性疾病的分子机制非常重要,但在使用当前可用的蛋白质力场参数生成的模型中偏差很大。根据导出的模型,计算了化学位移值,并与实验测定的数据进行了比较。结果表明,虽然两种力场参数的计算结果与实验结果一致,但聚类算法得到的结构特性却存在较大差异。换句话说,这些结果表明,预测的结构在很大程度上依赖于力场参数。重要的是,由于目前MD研究中使用的力场参数都没有专门考虑到IDPs的无序性质,这些发现清楚地表明,考虑到IDPs的快速灵活性和高振幅动态,必须为其开发新的力场参数。此外,IDPs的分子模拟通常使用一个水体积进行。研究表明,水体积的限制影响了Aβ42在水中的预测结构性质。虽然到目前为止,在水中IDPs的MD模拟中忽略了受限水体积效应,但我们的数据表明,在预测溶液中无序蛋白质的结构和热力学性质时,必须考虑到这些效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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