基于片段分子轨道法的非共价相互作用可视化分解分析。

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Journal of Chemical Theory and Computation Pub Date : 2025-05-13 Epub Date: 2025-02-19 DOI:10.1021/acs.jctc.4c01654
Dmitri G Fedorov, Diego Inostroza, Bastien Courbiere, Fréderic Guegan, Julia Contreras-García, Seiji Mori
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引用次数: 0

摘要

利用碎片分子轨道法(FMO)中电子密度和Fock矩阵的多体展开揭示了极化和电荷转移在非共价相互作用(NCI)中的作用。除了从这些分析中获得的物理化学见解之外,使用FMO可以快速评估电子密度以研究NCI。将该方法应用于溶剂化钠阳离子和小多肽,验证了该方法在完整计算方面的准确性,并揭示了极化和电荷转移在NCI中的作用。为了展示该方法的全部潜力,FMO/NCI方法应用于Trp-cage (PDB: 1L2Y)蛋白与配体的复合物,从密度和能量的角度提供了丰富的结合见解。NCI被证明提供了一个全面的相互作用的视觉图像,如果没有它,可能会错过,特别是片段中功能群之间的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decomposition Analysis for Visualization of Noncovalent Interactions Based on the Fragment Molecular Orbital Method.

Many-body expansions of the electron density and Fock matrix in the fragment molecular orbital method (FMO) are used to reveal the role of polarization and charge transfer on noncovalent interactions (NCI). In addition to the physicochemical insight gained from these analyses, the use of FMO permits a rapid evaluation of electron densities to study NCI. The developed method is applied to a solvated sodium cation and a small polypeptide, validating the accuracy of the approach with respect to full calculations and revealing the role of polarization and charge transfer in NCI. In order to show the full potential of the approach, the FMO/NCI method is applied to a complex of the Trp-cage (PDB: 1L2Y) protein with a ligand, delivering fruitful insights into binding from both density and energy perspectives. NCI is shown to provide a comprehensive visual picture of interactions that might be missed without it, in particular, interactions between functional groups in a fragment.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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