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arXiv 1402.6030q-bio.BMcond-mat.soft
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RNA粗粒度模型的开发与应用

Development and applications of Coarse Grained models for RNA

Changbong Hyeon, Natalia A. Denesyuk, D. Thirumalai

摘要:

与蛋白质相比,很少有人关注用于描述RNA分子的计算模型的发展,RNA分子被认为在许多细胞功能中起着关键作用。目前的原子详细力场不足以准确捕捉甚至简单的核酸结构的特性。在这篇文章中,我们回顾了我们开发粗粒度(CG)模型的努力,这些模型捕获了特定长度尺度的底层物理。两个模型进行了讨论。其中之一是三相互作用位点(TIS)模型,其中每个核苷酸由三个对应于糖,磷酸盐和碱基的珠子表示。另一种是自组织聚合物(SOP)模型,其中每个核苷酸被表示为单个相互作用中心。应用TIS模型研究了人端粒酶假结中发夹结构形成的复杂性以及拥挤效应对两种构象平衡移动的影响。关于拥挤的工作说明了与端粒酶活性的直接联系。我们用SOP模型来描述{ \it Tetrahymena}核酶对力的响应。模拟的解折叠路径与单分子拉伸实验吻合得很好。我们还回顾了{ \it Azoarcus}核酶去折叠途径的预测。CG在描述RNA动力学方面的成功应用给我们带来了希望,即可以使用所提出的模型的变体来处理涉及RNA-蛋白质相互作用的更复杂的过程。

英文摘要:

In contrast to proteins much less attention has been focused on development of computational models for describing RNA molecules, which are being recognized as playing key roles in many cellular functions. Current atomically detailed force fields are not accurate enough to capture the properties of even simple nucleic acid constructs. In this article, we review our efforts to develop coarse-grained (CG) models that capture the underlying physics for the particular length scale of interest. Two models are discussed. One of them is the Three Interaction Site (TIS) model in which each nucleotide is represented by three beads corresponding to sugar, phosphate, and base. The other is the Self-Organized Polymer (SOP) model in which each nucleotide is represented as a single interaction center. Applications of the TIS model to study the complexity of hairpin formation and the effects of crowding in shifting equilibrium between two conformations in human telomerase pseudoknot are described. The work on crowding illustrates a direct link to the activity of telomerase. We use the SOP model to describe the response of {\it Tetrahymena} ribozyme to force. The simulated unfolding pathways agree well with single molecule pulling experiments. We also review predictions for the unfolding pathways for {\it Azoarcus} ribozyme. The success of the CG applications to describe dynamics in RNA gives hope that more complex processes involving RNA-protein interactions can be tackled using variants of the proposed models.

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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