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利用静电嵌入机器学习势改进环境与电子振动效应的描述

Improved Description of Environment and Vibronic Effects with Electrostatically Embedded ML Potentials.

作者信息

Zinovjev Kirill, Curutchet Carles

机构信息

Departamento de Química Física, Universidad de Valencia, 46100 Burjassot, Spain.

Departament de Farmàcia i Tecnologia Farmacèutica, i Fisicoquímica, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona (UB), 08028 Barcelona, Spain.

出版信息

J Phys Chem Lett. 2025 Jan 23;16(3):774-781. doi: 10.1021/acs.jpclett.4c02949. Epub 2025 Jan 13.

Abstract

Incorporation of environment and vibronic effects in simulations of optical spectra and excited state dynamics is commonly done by combining molecular dynamics with excited state calculations, which allows to estimate the spectral density describing the frequency-dependent system-bath coupling strength. The need for efficient sampling, however, usually leads to the adoption of classical force fields despite well-known inaccuracies due to the mismatch with the excited state method. Here, we present a multiscale strategy that overcomes this limitation by combining EMLE simulations based on electrostatically embedded ML potentials with the QM/MMPol polarizable embedding model to compute the excited states and spectral density of 3-methyl-indole, the chromophoric moiety of tryptophan that mediates a variety of important biological functions, in the gas phase, in water solution, and in the human serum albumin protein. Our protocol provides highly accurate results that faithfully reproduce their QM/MM counterparts, thus paving the way for accurate investigations on the interrelation between the time scales of biological motion and the photophysics of tryptophan and other biosystems.

摘要

在光谱模拟和激发态动力学中纳入环境和电子振动效应通常是通过将分子动力学与激发态计算相结合来实现的,这使得能够估计描述频率相关系统-浴耦合强度的光谱密度。然而,由于需要高效采样,尽管经典力场因与激发态方法不匹配而存在众所周知的不准确之处,但通常仍会采用。在此,我们提出一种多尺度策略,通过将基于静电嵌入机器学习势的EMLE模拟与QM/MMPol可极化嵌入模型相结合,克服这一限制,以计算3-甲基吲哚(色氨酸的发色团部分,介导多种重要生物学功能)在气相、水溶液和人血清白蛋白蛋白质中的激发态和光谱密度。我们的方案提供了高度准确的结果,忠实地再现了其QM/MM对应物,从而为准确研究生物运动的时间尺度与色氨酸及其他生物系统的光物理之间的相互关系铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12216233/61c949bf7f92/jz4c02949_0001.jpg

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