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本文引用的文献

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The EVB as a quantitative tool for formulating simulations and analyzing biological and chemical reactions.作为一种用于制定模拟以及分析生物和化学反应的定量工具的EVB。
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Chemically accurate coarse graining of double-stranded DNA.双链 DNA 的化学精确粗粒化。
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Polarizable water model for the coarse-grained MARTINI force field.粗粒化 MARTINI 力场的极化水分子模型。
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At the dawn of the 21st century: Is dynamics the missing link for understanding enzyme catalysis?21 世纪的黎明:动力学是理解酶催化的缺失环节吗?
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Molecular simulation of ab initio protein folding for a millisecond folder NTL9(1-39).从头算蛋白质折叠的分子模拟研究 NTL9(1-39)毫秒折叠体。
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Multiscale simulations of protein landscapes: using coarse-grained models as reference potentials to full explicit models.蛋白质地貌的多尺度模拟:使用粗粒模型作为参考势对全显式模型进行模拟。
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Differential quantum tunneling contributions in nitroalkane oxidase catalyzed and the uncatalyzed proton transfer reaction.硝酮氧化酶催化和非催化质子转移反应中的量子隧穿差异贡献。
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生物功能的多尺度建模。

Multiscale modeling of biological functions.

机构信息

Department of Organic Chemistry, Stockholm University, S-10691, Stockholm, Sweden.

出版信息

Phys Chem Chem Phys. 2011 Jun 14;13(22):10401-11. doi: 10.1039/c0cp02823a. Epub 2011 Apr 27.

DOI:10.1039/c0cp02823a
PMID:21526232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3102780/
Abstract

Recent years have witnessed a tremendous explosion in computational power, which in turn has resulted in great progress in the complexity of the biological and chemical problems that can be addressed by means of all-atom simulations. Despite this, however, our computational time is not infinite, and in fact many of the key problems of the field were resolved long before the existence of the current levels of computational power. This review will start by presenting a brief historical overview of the use of multiscale simulations in biology, and then present some key developments in the field, highlighting several cases where the use of a physically sound simplification is clearly superior to a brute-force approach. Finally, some potential future directions will be discussed.

摘要

近年来,计算能力有了巨大的飞跃,这反过来又使得通过全原子模拟解决生物和化学问题的复杂性取得了重大进展。然而,尽管如此,我们的计算时间并不是无限的,实际上,该领域的许多关键问题早在当前计算能力出现之前就已经得到了解决。这篇综述将首先简要介绍多尺度模拟在生物学中的应用历史,然后介绍该领域的一些关键进展,重点介绍几个物理合理的简化方法明显优于暴力破解方法的案例。最后,讨论了一些潜在的未来方向。