GROMOS-RONS: A Force Field for Simulations of Reactive Oxygen and Nitrogen Species.

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL
Rodrigo M Cordeiro
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引用次数: 0

Abstract

Reactive oxygen and nitrogen species (RONS) play pivotal roles in biological and atmospheric systems, yet their transient nature challenges experimental study. Molecular dynamics (MD) simulations offer a powerful alternative, as long as reliable molecular mechanical models are available that accurately reproduce key physical properties of the simulated species. Correct partitioning behavior is crucial for biomolecular and atmospheric chemistry simulations, where RONS interactions at interfaces─such as phospholipid membranes and water-air boundaries─underpin essential processes. This study presents GROMOS-RONS, a force field for MD simulations of RONS and related compounds within the framework of the GROMOS 53A6 and 54A7 force field families. By integrating electronic structure calculations, thermodynamic integration, and equilibrium MD simulations, parameters were optimized to reproduce solvation free energies of various RONS in both water and hydrophobic media. In the case of ionic species, emphasis was placed on the correct hydration structure and ion-pairing tendencies. This force field provides a robust, validated tool for studying RONS dynamics and interactions across diverse scientific domains.

GROMOS-RONS:用于模拟活性氧和活性氮的力场。
活性氧和活性氮在生物和大气系统中起着至关重要的作用,但它们的瞬态特性给实验研究带来了挑战。分子动力学(MD)模拟提供了一个强大的替代方案,只要可靠的分子力学模型可以准确地再现模拟物种的关键物理特性。正确的分配行为对于生物分子和大气化学模拟至关重要,其中,在磷脂膜和水-空气边界等界面上的RONS相互作用是基本过程的基础。本研究提出了GROMOS-RONS,这是一个用于在GROMOS 53A6和54A7力场家族框架内对RONS和相关化合物进行MD模拟的力场。通过集成电子结构计算、热力学积分和平衡MD模拟,优化了参数,重现了不同ron在水和疏水介质中的溶剂化自由能。在离子种类的情况下,重点放在正确的水化结构和离子配对倾向。该力场为研究不同科学领域的RONS动力学和相互作用提供了一个强大的、经过验证的工具。
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
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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