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arXiv 1609.05321physics.bio-phcond-mat.softq-bio.BM
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基于高斯网络模型的RNA强制撕裂

Ripping RNA by Force using Gaussian Network Models

Changbong Hyeon, D. Thirumalai

摘要:

由于单分子拉伸实验的重大进展,使用力作为探针来绘制RNA分子的折叠景观已经成为现实。尽管张力下的解折叠路径很难预测,但蛋白质研究表明,拓扑结构是解折叠景观的主要决定因素。基于这一发现,我们研究了RNA分子对力的响应,采用高斯网络模型(GNM),该模型使用具有各向同性相互作用的珠弹簧网络来表示RNA。残基波动的互相关矩阵,这是分析计算使用GNM,即使在施加机械力,显示不同的变构通信作为RNA断裂。利用该模型计算了完全热力学平衡时的力-伸展曲线,以及四种RNA分子在准静态力作用下的去折叠路径,结果表明,GNM分析定性地描述了\emph{T}的去折叠路径.利用光镊技术对核酶进行了研究。然而,简单的模型是不足以捕捉微妙的功能,如分叉的展开途径或离子的影响,在强制展开的RNA。

英文摘要:

Using force as a probe to map the folding landscapes of RNA molecules has become a reality thanks to major advances in single molecule pulling experiments. Although the unfolding pathways under tension are complicated to predict studies in the context of proteins have shown that topology plays is the major determinant of the unfolding landscapes. By building on this finding we study the responses of RNA molecules to force by adapting Gaussian network model (GNM) that represents RNAs using a bead-spring network with isotropic interactions. Cross-correlation matrices of residue fluctuations, which are analytically calculated using GNM even upon application of mechanical force, show distinct allosteric communication as RNAs rupture. The model is used to calculate the force-extension curves at full thermodynamic equilibrium, and the corresponding unfolding pathways of four RNA molecules subject to a quasi-statically increased force.Our study finds that the analysis using GNM captures qualitatively the unfolding pathway of \emph{T}. ribozyme elucidated by the optical tweezers measurement. However, the simple model is not sufficient to capture subtle features, such as bifurcation in the unfolding pathways or the ion effects, in the forced-unfolding of RNAs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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