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使用对称坐标结构分解对近对称分子畸变进行量化。

Quantifying near-symmetric molecular distortion using symmetry-coordinate structural decomposition.

作者信息

Kingsbury Christopher J, Senge Mathias O

机构信息

School of Chemistry, Chair of Organic Chemistry, Trinity College Dublin, The University of Dublin, Trinity Biomedical Sciences Institute 152-160 Pearse Street Dublin D02R590 Ireland

Institute for Advanced Study (TUM-IAS), Technical University of Munich Lichtenberg-Str. 2a 85748 Garching Germany

出版信息

Chem Sci. 2024 Aug 6;15(34):13638-49. doi: 10.1039/d4sc01670j.

Abstract

We imagine molecules to be perfect, but rigidified units can be designed to bend from their ideal shape, discarding their symmetric elements as they progress through vibrations and larger, more permanent distortions. The shape of molecules is either simulated or measured by crystallography and strongly affects chemical properties but, beyond an image or tabulation of atom-to-atom distances, little is often discussed of the accessed conformation. We have simplified the process of shape quantification across multiple molecular types with a new web-accessible program - SCSD - through which a molecular subunit possessing near-symmetry can be dissected into symmetry coordinates with ease. This parameterization allows a common set of numbers for comparing and understanding molecular shape, and is a simple method for database analysis; this program is available at https://www.kingsbury.id.au/scsd.

摘要

我们通常认为分子是完美的,但可以设计出刚性化的单元,使其从理想形状弯曲,在振动以及更大、更持久的变形过程中摒弃其对称元素。分子的形状可通过晶体学进行模拟或测量,这对化学性质有很大影响,但除了原子间距离的图像或表格外,人们通常很少讨论所获得的构象。我们通过一个新的可通过网络访问的程序——SCSD,简化了对多种分子类型进行形状量化的过程,借助该程序,具有近对称性的分子亚基可以轻松地分解为对称坐标。这种参数化方法提供了一组通用的数字,用于比较和理解分子形状,是一种用于数据库分析的简单方法;该程序可在https://www.kingsbury.id.au/scsd获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e66/11352332/9e2219372ae9/d4sc01670j-f1.jpg

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