MA(R/S)TINI 3:用于环肽自组装和膜相互作用精确建模的增强粗粒度力场

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Alfonso Cabezón, Rebeca Garcia-Fandino* and Ángel Piñeiro*, 
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引用次数: 0

摘要

由手性交替α-环肽(d,l-α-CPs)形成的自组装纳米管(scpn)具有有趣的生物学应用,如抗菌活性或离子跨膜运输。由于实验技术难以跟踪这些过程,分子动力学(MD)模拟已被广泛用于了解导致其生物活性的机制。然而,原子分辨率模拟的高计算成本使得它们不适合模拟涉及多个单元的动态过程,例如它们在不同环境中的自组装。在这方面,粗粒度(CG)模型可能是一个更可行的选择。然而,一般的粗粒度力场,如MARTINI,并不能明确地解释非共价相互作用,如氢键,这是二级结构形成和蛋白质和肽的自组装所必需的。由于它们相互作用的特定方向性,这个问题在模拟CPs时变得尤为重要。在之前的工作中,已经证明了MARTINI经典参数化如何在不区分平行和反平行相互作用以及允许禁止旋转角的情况下高估cp的自组装。所谓的MA(R/S)TINI力场解决了这个问题,通过在主头中加入两个额外的粒子,同时在不同膜模型存在的情况下保留几个CP序列的行为。然而,这种新的参数化呈现出更高的CP-CP相互作用能,这是自组装高估的另一个关键问题。MARTINI 3的发布扩大了力场的范围,通过引入新的粒子和专门定制的标签来改善非共价相互作用的表示。然而,由于它对蛋白质主干使用相同的定位策略,这个新版本也未能捕获CPs的特定方向性。利用MARTINI 3提供的新可能性,MA(R/S)TINI在目前的工作中进行了更新。这个新版本使用了基于力场原珠的新的CPs映射,并释放了先前施加在CPs侧链上的限制。这种新的参数化方法在保留了之前的MA(R/S)TINI方法优点的同时,修正了之前在平行和反平行方向上CPs之间被高估的相互作用能。本工作提供的新参数化旨在促进基于CG-MD模拟的新生物活性CPs的理解,设计和优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MA(R/S)TINI 3: An Enhanced Coarse-Grained Force Field for Accurate Modeling of Cyclic Peptide Self-Assembly and Membrane Interactions

Self-assembled nanotubes (SCPNs) formed by alternating chirality α-Cyclic Peptides (d,l-α-CPs) have presented interesting biological applications, such as antimicrobial activity or ion transmembrane transport. Due to difficulties to follow these processes with experimental techniques, Molecular Dynamics (MD) simulations have been commonly used to understand the mechanism that led to their biological activity. However, the high computational cost of atomic resolution simulations makes them unsuitable for simulating dynamic processes involving multiple units like their self-assembly in different environments. In this regard, coarse-grain (CG) models might represent a more feasible option. However, general coarse-grained force fields such as MARTINI do not explicitly account for noncovalent interactions, such as hydrogen bonding, which are essential for secondary structure formation and the self-assembly of proteins and peptides. This problem becomes particularly important when simulating CPs due to the specific directionality of their interactions. In a previous work, it has been proven how MARTINI classical parametrization overestimated the self-assembly of CPs not distinguishing parallel and antiparallel interactions as well as allowing forbidden rotational angles. The so-called MA(R/S)TINI force field fixed the problem by including two extra particles into the backbone bead while preserving the behavior of several CP sequences in the presence of different membrane models. However, this new parametrization presented a much higher CP–CP interaction energy, being another critical issue for self-assembly overestimation. The release of MARTINI 3 expanded the scope of the force field by introducing new particles and labels specifically tailored to improve the representation of noncovalent interactions. Nevertheless, since it uses the same mapping strategy for protein backbones, this new version also failed at capturing the specific directionality of CPs. Taking advantage of the new possibilities offered by MARTINI 3, MA(R/S)TINI has been updated in the present work. This new version uses a new mapping of CPs based on original beads of the force field and releases the restraints previously imposed on the lateral side chains of the CPs. This new parameterization fixes the formerly overestimated interaction energy between CPs in both parallel and antiparallel orientations, while preserving the advantages of the previous version of MA(R/S)TINI. The new parametrization provided in the present work is aimed to facilitate the understanding, design, and optimization of new bioactive CPs based on CG-MD simulations.

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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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