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换马提尼酒仍可能让你宿醉。

Changing Your Martini Can Still Give You a Hangover.

机构信息

Department of Chemistry, Chicago Center for Theoretical Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.

出版信息

J Chem Theory Comput. 2024 Oct 22;20(20):9190-9208. doi: 10.1021/acs.jctc.4c00868. Epub 2024 Oct 3.

Abstract

The Martini 3.0 coarse-grained force field, which was parametrized to better capture transferability in top-down coarse-grained models, is analyzed to assess its accuracy in representing thermodynamic and structural properties with respect to the underlying atomistic representation of the system. These results are compared to those obtained following the principles of statistical mechanics that start from the same underlying atomistic system. To this end, the potentials of mean force for lateral association in Martini 3.0 binary lipid bilayers are decomposed into their entropic and enthalpic components and compared to those of corresponding atomistic bilayers that have been projected onto equivalent coarse-grained mappings but evolved under the fully atomistic forces. This is accomplished by applying the reversible work theorem to lateral pair correlation functions between coarse-grained lipid beads taken at a range of different temperatures. The entropy-enthalpy decompositions provide a metric by which the underlying statistical mechanical properties of Martini can be investigated. Overall, Martini 3.0 is found to fail to properly partition entropy and enthalpy for the PMFs compared to the mapped all-atom results, despite changes made to the force field from the Martini 2.0 version. This outcome points to the fact that the development of more accurate top-down coarse-grained models such as Martini will likely necessitate temperature-dependent terms in the corresponding CG force-field; although necessary, this may not be sufficient to improve Martini. In addition to the entropy-enthalpy decompositions, Martini 3.0 produces an incorrect undulation spectrum, in particular at intermediate length scales of biophysical pertinence.

摘要

The Martini 3.0 粗粒化力场,该力场经过参数化调整,以更好地捕捉自上而下的粗粒化模型中的可转移性,对其在代表热力学和结构性质方面的准确性进行了分析,以评估其相对于系统的基本原子表示的准确性。这些结果与根据统计力学原理获得的结果进行了比较,这些原理从相同的基本原子系统开始。为此,将 Martini 3.0 二元脂质双层中侧向缔合的平均力势分解为其熵和焓分量,并将其与已投影到等效粗粒化映射但在全原子力下演变的相应原子双层的平均力势进行比较。这是通过应用可逆功定理来实现的,该定理用于对在不同温度下的粗粒化脂质珠之间的侧向对关联函数进行分析。熵-焓分解提供了一种度量标准,可以根据该标准来研究 Martini 的基本统计力学性质。总体而言,与映射的全原子结果相比,Martini 3.0 在 PMF 方面未能正确划分熵和焓,尽管从 Martini 2.0 版本对力场进行了更改。这一结果表明,开发更准确的自上而下的粗粒化模型(如 Martini)可能需要在相应的 CG 力场中包含温度相关项;尽管这是必要的,但这可能不足以改进 Martini。除了熵-焓分解外,Martini 3.0 还产生了不正确的波动谱,特别是在具有生物物理相关性的中间长度尺度上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe25/11500708/707ed19e9491/ct4c00868_0001.jpg

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