Martini 3 OliGo̅mers: A Scalable Approach for Multimers and Fibrils in GROMACS.

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Journal of Chemical Theory and Computation Pub Date : 2024-09-10 Epub Date: 2024-08-27 DOI:10.1021/acs.jctc.4c00677
Ksenia Korshunova, Julius Kiuru, Juho Liekkinen, Giray Enkavi, Ilpo Vattulainen, Bart M H Bruininks
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引用次数: 0

Abstract

Martini 3 is a widely used coarse-grained simulation method for large-scale biomolecular simulations. It can be combined with a Go̅ model to realistically describe higher-order protein structures while allowing the folding and unfolding events. However, as of today, this method has largely been used only for individual monomers. In this article, we describe how the Go̅ model can be implemented within the framework of Martini 3 for a multimer system, taking into account both intramolecular and intermolecular interactions in an oligomeric protein system. We demonstrate the method by showing how it can be applied to both structural stability maintenance and assembly/disassembly of protein oligomers, using aquaporin tetramer, insulin dimer, and amyloid-β fibril as examples. We find that addition of intermolecular Go̅ potentials stabilizes the quaternary structure of proteins. The strength of the Go̅ potentials can be tuned so that the internal fluctuations of proteins match the behavior of atomistic simulation models, however, the results also show that the use of too strong intermolecular Go̅ potentials weakens the chemical specificity of oligomerization. The Martini-Go̅ model presented here enables the use of Go̅ potentials in oligomeric molecular systems in a computationally efficient and parallelizable manner, especially in the case of homopolymers, where the number of identical protein monomers is high. This paves the way for coarse-grained simulations of large protein complexes, such as viral protein capsids and prion fibrils, in complex biological environments.

Abstract Image

Martini 3 OliGo̅mers:在 GROMACS 中实现多聚物和纤维的可扩展方法。
Martini 3 是一种广泛应用于大规模生物分子模拟的粗粒度模拟方法。它可以与 Go̅ 模型相结合,真实地描述高阶蛋白质结构,同时允许折叠和展开事件。然而,到目前为止,这种方法大多只用于单个单体。在本文中,我们将介绍如何在马蒂尼 3 的框架内针对多聚体系统实施 Go̅ 模型,同时考虑低聚体蛋白质系统中分子内和分子间的相互作用。我们以 Aquaporin 四聚体、胰岛素二聚体和淀粉样蛋白-β纤维为例,展示了该方法如何应用于蛋白质寡聚体的结构稳定性维持和组装/解体。我们发现,增加分子间 Go̅ 电位可稳定蛋白质的四元结构。可以调整 Go̅ 电位的强度,使蛋白质的内部波动与原子模拟模型的行为相匹配,但结果也表明,使用过强的分子间 Go̅ 电位会削弱寡聚的化学特异性。本文介绍的马蒂尼-Go̅模型能够在低聚物分子系统中以高效、可并行计算的方式使用 Go̅ 电位,尤其是在同源聚合物中,因为在同源聚合物中相同蛋白质单体的数量较多。这为在复杂的生物环境中对大型蛋白质复合物(如病毒蛋白囊壳和朊病毒纤维)进行粗粒度模拟铺平了道路。
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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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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