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从 NMR 质子化学位移确定核酸螺旋结构。

Nucleic acid helix structure determination from NMR proton chemical shifts.

机构信息

Department of Biophysical Chemistry, Institute of Molecules and Materials, Radboud University Nijmegen, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands.

出版信息

J Biomol NMR. 2013 Jun;56(2):95-112. doi: 10.1007/s10858-013-9725-y. Epub 2013 Apr 6.

Abstract

We present a method for de novo derivation of the three-dimensional helix structure of nucleic acids using non-exchangeable proton chemical shifts as sole source of experimental restraints. The method is called chemical shift de novo structure derivation protocol employing singular value decomposition (CHEOPS) and uses iterative singular value decomposition to optimize the structure in helix parameter space. The correct performance of CHEOPS and its range of application are established via an extensive set of structure derivations using either simulated or experimental chemical shifts as input. The simulated input data are used to assess in a defined manner the effect of errors or limitations in the input data on the derived structures. We find that the RNA helix parameters can be determined with high accuracy. We finally demonstrate via three deposited RNA structures that experimental proton chemical shifts suffice to derive RNA helix structures with high precision and accuracy. CHEOPS provides, subject to further development, new directions for high-resolution NMR structure determination of nucleic acids.

摘要

我们提出了一种使用不可交换质子化学位移作为唯一实验约束条件从头推导核酸三维螺旋结构的方法。该方法称为化学位移从头结构推导协议(CHEOPS),并使用迭代奇异值分解在螺旋参数空间中优化结构。通过使用模拟或实验化学位移作为输入进行广泛的结构推导,确定了 CHEOPS 的正确性能及其应用范围。模拟输入数据用于以明确定义的方式评估输入数据中的错误或限制对推导结构的影响。我们发现可以非常准确地确定 RNA 螺旋参数。最后,通过三个已发表的 RNA 结构证明,实验质子化学位移足以高精度和高准确度地推导 RNA 螺旋结构。CHEOPS 提供了进一步开发的方向,用于核酸的高分辨率 NMR 结构测定。

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