分子系统的快速振动分析

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Hugo Petitjean, Aude Giard, Jean-Pierre Flament, Catherine Berthomieu, Dorothée Berthomieu
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引用次数: 0

摘要

红外差分光谱技术的发展为金属蛋白等复杂分子的结构提供了前所未有的洞察力。然而,在振动光谱的众多波段中很难找到相关信息。ab initio建模非常有助于为振动模式分配频率,但如何将海量数据处理成对实验人员有用的描述符却是一项挑战。为此,我们开发了一种名为 VIBMOL 的新工具,可以从用普通量子化学代码计算的 Hessian 矩阵中分析分子的振动模式。VIBMOL 程序可在 Unix 机器上运行。通过一个新的图形界面,用户可以计算分子的法向模态,将其可视化,模拟红外光谱,并在任意一组振动坐标中探索法向模态的势能分布。它与格式化 GAUSSIAN 程序中相关数据的接口程序 (gosdmu) 相结合。VIBMOL 代码可向作者索取。本文提供的讨论有助于读者在众多不同软件中做出选择,并说明了 VIBMOL 如何在与实验人员合作的背景下使红外分配变得更容易。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Fast vibrational analysis of molecular systems

Fast vibrational analysis of molecular systems

Fast vibrational analysis of molecular systems

The development of infrared difference spectroscopy provides unprecedented insights on structures of complex molecules like metalloproteins. However, the relevant information can be hard to find among the many bands of the vibrational spectra. The ab initio modeling is very helpful to assign the frequencies to vibrational modes but it is a challenge to process the huge quantity of data into descriptors useful for experimentalists. To this end, we developed a new tool called VIBMOL allowing to analyze vibrational modes of molecules from hessian matrices calculated with common quantum chemistry codes. VIBMOL program runs on Unix machines. Through a new graphical interface, the users can calculate the normal modes of molecules, visualize them, simulate infrared spectra, and explore the Potential Energy Distribution of normal modes among any set of vibration coordinates. It is combined with an interface program (gosdmu) formatting relevant data from the GAUSSIAN program. VIBMOL code is available upon request to the authors. A discussion is provided to help the readers to choose between a large choice of different software and it shows how VIBMOL can make the IR assignment easier in the context of collaborations with experimentalists.

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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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