使用复制交换包络分布采样的QM/MM精度的高效多态自由能计算。

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL
The Journal of Physical Chemistry B Pub Date : 2025-06-19 Epub Date: 2025-06-06 DOI:10.1021/acs.jpcb.5c02086
Domen Pregeljc, Ramon J R Hügli, Sereina Riniker
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引用次数: 0

摘要

利用分子动力学模拟计算自由能差是计算化学中的一项重要任务。在实际应用中,由于计算资源有限,模型近似和相空间采样不足限制了结果的准确性。在目前的工作中,我们通过将量子力学/分子力学(QM/MM)方案与副本交换包络分布采样(RE-EDS)相结合来解决这些挑战,从而获得具有高计算效率的多状态和多尺度自由能方法。利用半经验方法计算了三个数据集的水化自由能,展示了QM/MM RE-EDS的性能。我们强调了QM哈密顿量选择的重要性,以及QM和MM模型之间兼容性的影响。特别是半经验方法的选择与实验相比对精度有实质性的影响,而且MM水模型的选择也是不可忽略的。我们的研究结果表明,reeds是一种有效的QM/MM方案计算自由能差的方法,为未来的发展和应用奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Multistate Free-Energy Calculations with QM/MM Accuracy Using Replica-Exchange Enveloping Distribution Sampling.

Calculating free-energy differences using molecular dynamics (MD) simulations is an important task in computational chemistry. In practice, the accuracy of the results is limited by model approximations and insufficient phase-space sampling due to limited computational resources. In the present work, we address these challenges by integrating the quantum-mechanical/molecular-mechanical (QM/MM) scheme with replica-exchange enveloping distribution sampling (RE-EDS) to obtain a multistate and multiscale free-energy method with high computational efficiency. The performance of QM/MM RE-EDS is showcased by calculating hydration free energies for three data sets using semiempirical methods for the QM zone. We highlight the importance of the choice of QM Hamiltonian and the effect of the compatibility between the QM and MM models. Especially the choice of semiempirical method has a substantial effect on the accuracy compared to experiment, but also the choice of MM water model is non-negligible. Our findings indicate that RE-EDS is an efficient approach for calculating free-energy differences with a QM/MM scheme, and lays the foundation for future developments and applications.

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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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