深入洞察本质上无序蛋白质的构象组合

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Oskar Svensson, Michael J Bakker, Marie Skepö
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引用次数: 0

摘要

众所周知,与结构蛋白不同,固有无序蛋白(IDPs)表现出多种结构和构象,即所谓的构象集合(CoE)。本研究旨在通过将 CoE 分解成按回转半径(Rg)分隔的组,更好地了解构成 IDP 组合的构象。研究 IDP 的 CoE 的常用方法是使用小角散射等低分辨率技术,并结合不同长度尺度的计算机模拟。在这里,我们利用研究得比较透彻的抗菌唾液蛋白组蛋白 5 作为 IDP 的模型肽,通过小角 X 射线散射获得了平均强度曲线,并将其与完全原子化的显式水分子动力学模拟进行了比较,然后根据不同的 Rg 值对强度曲线进行了分解,并研究了它们的二级结构倾向性。我们预计,这种方法可以提供有关 CoE 及其内部各个构象的重要信息;在这种情况下,它将成为更详细地了解 IDP 结构-功能关系的另一种工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Deeper Insight of the Conformational Ensemble of Intrinsically Disordered Proteins.

Deeper Insight of the Conformational Ensemble of Intrinsically Disordered Proteins.

It is generally known that, unlike structured proteins, intrinsically disordered proteins, IDPs, exhibit various structures and conformers, the so-called conformational ensemble, CoE. This study aims to better understand the conformers that make up the IDP ensemble by decomposing the CoE into groups separated by their radius of gyration, Rg. A common approach to studying CoE for IDPs is to use low-resolution techniques, such as small-angle scattering, and combine those with computer simulations on different length scales. Herein, the well-studied antimicrobial saliva protein histatin 5 was utilized as a model peptide for an IDP; the average intensity curves were obtained from small-angle X-ray scattering; and compared with fully atomistic, explicit water, molecular dynamics simulations; then, the intensity curve was decomposed with respect to the different Rg values; and their secondary structure propensities were investigated. We foresee that this approach can provide important information on the CoE and the individual conformers within; in that case, it will serve as an additional tool for understanding the IDP structure-function relationship on a more detailed level.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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