通过马蒂尼粗粒度分子动力学模拟建立完整的严重急性呼吸系统综合征冠状病毒 2 的原子模型

IF 0.6 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Quantitative Biology Pub Date : 2023-11-28 DOI:10.1002/qub2.20
Dali Wang, Jiaxuan Li, Lei Wang, Yipeng Cao, Bo Kang, Xiangfei Meng, Sai Li, Chen Song
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引用次数: 0

摘要

冠状病毒病 2019(COVID-19)的病原体严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)是一种由脂质包膜和多种结构蛋白组装而成的包膜病毒。在本研究中,我们通过整合实验数据、结构建模以及粗粒度和全原子分子动力学模拟,构建了 SARS-CoV-2 的多尺度模型。我们对完整病毒体进行了 500-ns 的粗粒度模拟,从而能够在原位研究膜嵌入蛋白和周围脂质分子的动态行为。我们的结果表明,膜嵌入蛋白具有高度动态性,某些类型的脂质对膜嵌入蛋白的特定位点表现出不同的结合偏好。我们将平衡病毒模型转化为原子分辨率,为科学展示提供了三维结构,并可作为未来超大规模全原子分子动力学(MD)模拟的框架。作为对这一复杂系统进行大规模模拟的初步测试,进行了一次 255 ps 的短时间全原子分子动力学模拟。
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Toward atomistic models of intact severe acute respiratory syndrome coronavirus 2 via Martini coarse‐grained molecular dynamics simulations
The causative pathogen of coronavirus disease 2019 (COVID‐19), severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), is an enveloped virus assembled by a lipid envelope and multiple structural proteins. In this study, by integrating experimental data, structural modeling, as well as coarse‐grained and all‐atom molecular dynamics simulations, we constructed multiscale models of SARS‐CoV‐2. Our 500‐ns coarse‐grained simulation of the intact virion allowed us to investigate the dynamic behavior of the membrane‐embedded proteins and the surrounding lipid molecules in situ. Our results indicated that the membrane‐embedded proteins are highly dynamic, and certain types of lipids exhibit various binding preferences to specific sites of the membrane‐embedded proteins. The equilibrated virion model was transformed into atomic resolution, which provided a 3D structure for scientific demonstration and can serve as a framework for future exascale all‐atom molecular dynamics (MD) simulations. A short all‐atom molecular dynamics simulation of 255 ps was conducted as a preliminary test for large‐scale simulations of this complex system.
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来源期刊
Quantitative Biology
Quantitative Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
5.00
自引率
3.20%
发文量
264
期刊介绍: Quantitative Biology is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems. It is a quarterly journal seeking to provide an inter- and multi-disciplinary forum for a broad blend of peer-reviewed academic papers in order to promote rapid communication and exchange between scientists in the East and the West. The content of Quantitative Biology will mainly focus on the two broad and related areas: ·bioinformatics and computational biology, which focuses on dealing with information technologies and computational methodologies that can efficiently and accurately manipulate –omics data and transform molecular information into biological knowledge. ·systems and synthetic biology, which focuses on complex interactions in biological systems and the emergent functional properties, and on the design and construction of new biological functions and systems. Its goal is to reflect the significant advances made in quantitatively investigating and modeling both natural and engineered life systems at the molecular and higher levels. The journal particularly encourages original papers that link novel theory with cutting-edge experiments, especially in the newly emerging and multi-disciplinary areas of research. The journal also welcomes high-quality reviews and perspective articles.
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