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从量子尺度到亚细胞尺度:多尺度模拟方法与SIRAH力场

From quantum to subcellular scales: multi-scale simulation approaches and the SIRAH force field.

作者信息

Machado Matías R, Zeida Ari, Darré Leonardo, Pantano Sergio

机构信息

Institut Pasteur de Montevideo, Group of Biomolecular Simulations, Mataojo 2020, CP 11400 Montevideo, Uruguay.

Departamento de Bioquímica and Center for Free Radical and Biomedical Research, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.

出版信息

Interface Focus. 2019 Jun 6;9(3):20180085. doi: 10.1098/rsfs.2018.0085. Epub 2019 Apr 19.

Abstract

Modern molecular and cellular biology profits from astonishing resolution structural methods, currently even reaching the whole cell level. This is encompassed by the development of computational methods providing a deep view into the structure and dynamics of molecular processes happening at very different scales in time and space. Linking such scales is of paramount importance when aiming at far-reaching biological questions. Computational methods at the interface between classical and coarse-grained resolutions are gaining momentum with several research groups dedicating important efforts to their development and tuning. An overview of such methods is addressed herein, with special emphasis on the SIRAH force field for coarse-grained and multi-scale simulations. Moreover, we provide proof of concept calculations on the implementation of a multi-scale simulation scheme including quantum calculations on a classical fine-grained/coarse-grained representation of double-stranded DNA. This opens the possibility to include the effect of large conformational fluctuations in chromatin segments on, for instance, the reactivity of particular base pairs within the same simulation framework.

摘要

现代分子与细胞生物学受益于分辨率惊人的结构方法,目前甚至已达到全细胞水平。这涵盖了计算方法的发展,这些方法能深入洞察在时间和空间上截然不同尺度发生的分子过程的结构与动力学。当着眼于深远的生物学问题时,连接这些尺度至关重要。处于经典分辨率和粗粒度分辨率之间的计算方法正蓬勃发展,多个研究团队投入大量精力进行开发和调整。本文将概述此类方法,特别强调用于粗粒度和多尺度模拟的SIRAH力场。此外,我们提供了关于多尺度模拟方案实施的概念验证计算,该方案包括对双链DNA的经典细粒度/粗粒度表示进行量子计算。这为在同一模拟框架内纳入染色质片段中大幅构象波动对特定碱基对反应性的影响开辟了可能性。

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本文引用的文献

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Envisioning data sharing for the biocomputing community.为生物计算社区设想数据共享。
Interface Focus. 2019 Jun 6;9(3):20190005. doi: 10.1098/rsfs.2019.0005. Epub 2019 Apr 19.
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The future of quantum biology.量子生物学的未来。
J R Soc Interface. 2018 Nov 14;15(148):20180640. doi: 10.1098/rsif.2018.0640.

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