用于GROMOS分子动力学的健壮和通用QM/MM接口

IF 2.9 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-02-07 DOI:10.1002/jcc.70053
Peter Poliak, Patrick Bleiziffer, Felix Pultar, Sereina Riniker, Chris Oostenbrink
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摘要

分子动力学模拟中量子力学和分子力学(QM/MM)的集成对于精确模拟复杂的生化系统至关重要。在这里,我们展示了GROMOS仿真包中QM/MM接口的增强实现,在功能和用户控制方面进行了重大改进。我们提出了新的特征,包括链接原子方案,它允许将QM区域建模为更大分子的一部分。在各种系统上进行基准测试,包括水中的QM水、水中的氨基酸和三肽,验证了新功能的可靠性。性能评估表明更新后的实现是有效的,主要的计算负担归因于QM程序,而不是QM/MM接口或MD程序本身。改进的QM/MM接口可以更深入地研究生物分子反应性、酶催化和其他需要在经典模拟中进行详细量子力学处理的现象。这项工作代表了GROMOS能力的重大进步,为探索复杂的分子系统提供了增强的工具。
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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A Robust and Versatile QM/MM Interface for Molecular Dynamics in GROMOS

The integration of quantum mechanics and molecular mechanics (QM/MM) within molecular dynamics simulations is crucial to accurately model complex biochemical systems. Here, we present an enhanced implementation of the QM/MM interface in the GROMOS simulation package, introducing significant improvements in functionality and user control. We present new features, including the link atom scheme, which allows the modeling of QM regions as a part of bigger molecules. Benchmark tests on various systems, including QM water in water, amino acids in water, and tripeptides validate the reliability of the new functionalities. Performance evaluations demonstrate that the updated implementation is efficient, with the primary computational burden attributed to the QM program rather than the QM/MM interface or the MD program itself. The improved QM/MM interface enables more advanced investigations into biomolecular reactivity, enzyme catalysis, and other phenomena requiring detailed quantum mechanical treatment within classical simulations. This work represents a significant advancement in the capabilities of GROMOS, providing enhanced tools to explore complex molecular systems.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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