用UNRES多肽链粗粒度模型实现时间平均约束。

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2025-02-11 Epub Date: 2025-01-24 DOI:10.1021/acs.jctc.4c01504
Nguyen Truong Co, Cezary Czaplewski, Emilia A Lubecka, Adam Liwo
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引用次数: 0

摘要

在UNRES多肽链粗粒度模型中实施了核磁共振(NMR)测量的时间平均约束,以开发一种数据辅助建模工具,用于多态蛋白质、内在无序蛋白质(IDPs)和具有内在无序区域(IDRs)的蛋白质的构象集成,其中许多在细胞生物学中是必不可少的。引入了一种具有时间平均约束的分子动力学的数值稳定变体,其中总能量在微规范运行中守恒,在规范运行中保持槽温,时间平均约束力分量随记忆窗口的长度而增大,从而使约束影响模拟结构。正如合成约束所证明的那样,新方法恢复了用于生成系平均距离的构象系。该方法可以更好地拟合多态蛋白质和具有内在无序区域的蛋白质的整体平均质子间距离,这使得它比全原子方法在确定具有扩散结构的蛋白质的构象整体方面具有优势,因为它具有更快和更强大的构象搜索。
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Implementation of Time-Averaged Restraints with UNRES Coarse-Grained Model of Polypeptide Chains.

Time-averaged restraints from nuclear magnetic resonance (NMR) measurements have been implemented in the UNRES coarse-grained model of polypeptide chains in order to develop a tool for data-assisted modeling of the conformational ensembles of multistate proteins, intrinsically disordered proteins (IDPs) and proteins with intrinsically disordered regions (IDRs), many of which are essential in cell biology. A numerically stable variant of molecular dynamics with time-averaged restraints has been introduced, in which the total energy is conserved in sections of a trajectory in microcanonical runs, the bath temperature is maintained in canonical runs, and the time-average-restraint-force components are scaled up with the length of the memory window so that the restraints affect the simulated structures. The new approach restores the conformational ensembles used to generate ensemble-averaged distances, as demonstrated with synthetic restraints. The approach results in a better fitting of the ensemble-averaged interproton distances to those determined experimentally for multistate proteins and proteins with intrinsically disordered regions, which puts it at an advantage over all-atom approaches with regard to the determination of the conformational ensembles of proteins with diffuse structures, owing to a faster and more robust conformational search.

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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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