The Conformation of Glycosidic Linkages According to Various Force Fields: Monte Carlo Modeling of Polysaccharides Based on Extrapolation of Short-Chain Properties.

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2024-07-23 Epub Date: 2024-07-10 DOI:10.1021/acs.jctc.4c00543
Valery Lutsyk, Pawel Wolski, Wojciech Plazinski
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Abstract

The conformational features of the glycosidic linkage are the most important variable to consider when studying di-, oligo-, and polysaccharide molecules using molecular dynamics (MD) simulations. The accuracy of the theoretical model describing this degree of freedom influences the quality of the results obtained from MD calculations based on this model. This article focuses on the following two issues related to the conformation of the glycosidic linkage. First, we describe the results of a comparative analysis of the predictions of three carbohydrate-dedicated classical force fields for MD simulations, namely, CHARMM, GLYCAM, and GROMOS, in the context of different parameters of structural and energetic nature related to the conformation of selected types of glycosidic linkages, α(1 → 4), β(1 → 3), and β(1 → 4), connecting glucopyranose units. This analysis revealed several differences, mainly concerning the energy levels of the secondary and tertiary conformers and the linkage flexibility within the dominant exo-syn conformation for α(1 → 4) and β(1 → 3) linkages. Some aspects of the comparative analysis also included the newly developed, carbohydrate-dedicated Martini 3 coarse-grained force field. Second, to overcome the time-scale problem associated with sampling slow degrees of freedom in polysaccharide chains during MD simulations, we developed a coarse-grained (CG) model based on the data from MD simulations and designed for Monte Carlo modeling. This model (CG MC) is based on information from simulations of short saccharide chains, effectively sampled in atomistic MD simulations, and is capable of extrapolating local conformational properties to the case of polysaccharides of arbitrary length. The CG MC model has the potential to estimate the conformations of very long polysaccharide chains, taking into account the influence of secondary and tertiary conformations of glycosidic linkages. With respect to the comparative analysis of force fields, the application of CG MC modeling showed that relatively small differences in the predictions of individual force fields with respect to a single glycosidic linkage accumulate when considering their effect on the structure of longer chains, leading to drastically different predictions with respect to parameters describing the polymer conformation, such as the persistence length.

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各种力场下糖苷键的构象:基于短链特性外推法的多糖蒙特卡罗建模。
利用分子动力学(MD)模拟研究二糖、寡糖和多糖分子时,糖苷键的构象特征是需要考虑的最重要变量。描述这一自由度的理论模型的准确性影响着基于该模型的 MD 计算结果的质量。本文重点讨论以下两个与糖苷键构象有关的问题。首先,我们介绍了在与选定类型的糖苷键(α(1 → 4)、β(1 → 3)和 β(1 → 4))的构象有关的结构和能量性质参数的背景下,对用于 MD 模拟的三个专门用于碳水化合物的经典力场(即 CHARMM、GLYCAM 和 GROMOS)的预测结果进行比较分析的结果。这项分析揭示了若干差异,主要涉及二级和三级构象的能级,以及 α(1 → 4) 和 β(1 → 3) 连接的主要外旋构象内的连接灵活性。比较分析的某些方面还包括新开发的专用于碳水化合物的 Martini 3 粗粒度力场。其次,为了克服多糖链在 MD 模拟过程中与慢自由度取样相关的时间尺度问题,我们根据 MD 模拟的数据开发了一个粗粒度(CG)模型,专为蒙特卡罗建模而设计。该模型(CG MC)以原子 MD 模拟中有效采样的短糖链模拟信息为基础,能够将局部构象特性外推至任意长度的多糖。考虑到糖苷键的二级和三级构象的影响,CG MC 模型具有估计超长多糖链构象的潜力。在力场比较分析方面,CG MC 模型的应用表明,当考虑到单个力场对较长链结构的影响时,单个力场对单个糖苷键的预测差异相对较小,但当考虑到对较长链结构的影响时,差异会逐渐扩大,从而导致对聚合物构象参数(如持续长度)的预测大相径庭。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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