“双质心”简化表示中蛋白质三维结构的可视化:在配体结合位点建模和筛选中的应用

V. M. Reyes, Vrunda Sheth
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引用次数: 16

摘要

本文由两部分组成:(a)蛋白质简化表示的开发及其在Web服务器上的实现;(b)在给定配体结合位点的建模中使用还原的蛋白质表示,并在其他蛋白质3D结构中筛选该模型。现有的还原蛋白三维结构表征方法,如Cα痕量法,不仅缺乏必要的分子细节,而且忽略了组成氨基酸侧链的化学性质。本章描述了一种称为“双质心还原表示”的还原蛋白3D结构表示,并介绍了一种名为“DCRR Web Server”的可视化工具,该工具可以图形化地显示DCRR中的蛋白质3D结构以及非共价分子内和分子间氢键和范德华相互作用。在DCRR模型中,每个氨基酸残基被表示为两点:主链原子的质心和侧链原子的质心;在可视化Web服务器中,它们和非绑定交互用颜色编码,以便于识别。本章中的可视化工具是在MATLAB中实现的,并且是第一个用于还原蛋白质表示以及同时显示分子中非共价相互作用的可视化工具。DCRR模型将蛋白质结构的原子性降低了约75%,同时捕获了组成氨基酸的基本化学性质。本章的后半部分描述了这种简化表示在使用称为“四面体基序”的数据模型建模和筛选配体结合位点方面的应用。这种类型的配体结合位点建模和筛选提出了一种新型的药效团建模和筛选,它依赖于减少的蛋白质表示。DOI: 10.4018 / 978 - 1 - 4666 - 3604 - 0. - ch059
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of Protein 3D Structures in 'Double-Centroid' Reduced Representation: Application to Ligand Binding Site Modeling and Screening
This article is of two parts: (a) the development of a protein reduced representation and its implementation in a Web server; and (b) the use of the reduced protein representation in the modeling of the binding site of a given ligand and the screening for the model in other protein 3D structures. Current methods of reduced protein 3D structure representation such as the Cα trace method not only lack essential molecular detail, but also ignore the chemical properties of the component amino acid side chains. This chapter describes a reduced protein 3D structure representation called “double-centroid reduced representation” and presents a visualization tool called the “DCRR Web Server” that graphically displays a protein 3D structure in DCRR along with non-covalent intraand intermolecular hydrogen bonding and van der Waals interactions. In the DCRR model, each amino acid residue is represented as two points: the centroid of the backbone atoms and that of the side chain atoms; in the visualization Web server, they and the non-bonded interactions are color-coded for easy identification. The visualization tool in this chapter is implemented in MATLAB and is the first for a reduced protein representation as well as one that simultaneously displays non-covalent interactions in the molecule. The DCRR model reduces the atomicity of the protein structure by ~75% while capturing the essential chemical properties of the component amino acids. The second half of this chapter describes the application of this reduced representation to the modeling and screening of ligand binding sites using a data model termed the “tetrahedral motif.” This type of ligand binding site modeling and screening presents a novel type of pharmacophore modeling and screening, one that depends on a reduced protein representation. DOI: 10.4018/978-1-4666-3604-0.ch059
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