Suppr超能文献

利用 Hirshfeld 表面计算、非共价相互作用(NCI)图以及相互作用能计算来分析分子堆积。

Utilizing Hirshfeld surface calculations, non-covalent inter-action (NCI) plots and the calculation of inter-action energies in the analysis of mol-ecular packing.

作者信息

Tan Sang Loon, Jotani Mukesh M, Tiekink Edward R T

机构信息

Research Centre for Crystalline Materials, School of Science and Technology, Sunway University, 47500 Bandar Sunway, Selangor Darul Ehsan, Malaysia.

Department of Physics, Bhavan's Sheth R. A. College of Science, Ahmedabad, Gujarat 380001, India.

出版信息

Acta Crystallogr E Crystallogr Commun. 2019 Feb 5;75(Pt 3):308-318. doi: 10.1107/S2056989019001129. eCollection 2019 Mar 1.

Abstract

The analysis of atom-to-atom and/or residue-to-residue contacts remains a favoured mode of analysing the mol-ecular packing in crystals. In this contribution, additional tools are highlighted as methods for analysis in order to complement the 'crystallographer's tool', [Spek (2009). . D, 148-155]. Thus, a brief outline of the procedures and what can be learned by using [Spackman & Jayatilaka (2009). , 19-23] is presented. Attention is then directed towards evaluating the nature, . attractive/weakly attractive/repulsive, of specific contacts employing [Johnson (2010). . , 6498-6506]. This is complemented by a discussion of the calculation of energy frameworks utilizing the latest version of . All the mentioned programs are free of charge and straightforward to use. More importantly, they complement each other to give a more complete picture of how mol-ecules assemble in mol-ecular crystals.

摘要

对原子与原子之间和/或残基与残基之间接触的分析仍然是分析晶体中分子堆积的一种常用方式。在本论文中,将重点介绍一些额外的工具作为分析方法,以补充“晶体学家的工具”[Spek (2009). Acta Cryst. D, 148 - 155]。因此,本文简要概述了使用[Spackman & Jayatilaka (2009). Acta Cryst. B, 19 - 23]的程序以及所能了解到的信息。接着,将注意力转向使用[Johnson (2010). Acta Cryst. D, 6498 - 6506]评估特定接触的性质,即吸引性/弱吸引性/排斥性。同时,还将讨论利用最新版本计算能量框架的相关内容。所有提及的程序都是免费的且易于使用。更重要的是,它们相互补充,能更全面地呈现分子在分子晶体中是如何组装的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/6399703/8848f524431a/e-75-00308-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验