Suppr超能文献

镁离子与RNA结合的热力学框架。

A thermodynamic framework for Mg2+ binding to RNA.

作者信息

Misra V K, Draper D E

机构信息

Department of Chemistry, The Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA.

出版信息

Proc Natl Acad Sci U S A. 2001 Oct 23;98(22):12456-61. doi: 10.1073/pnas.221234598.

Abstract

We present a model describing how Mg(2+) binds and stabilizes specific RNA structures. In this model, RNA stabilization arises from two energetically distinct modes of Mg(2+) binding: diffuse- and site-binding. Diffusely bound Mg(2+) are electrostatically attracted to the strong anionic field around the RNA and are accurately described by the Poisson-Boltzmann equation as an ensemble distributed according to the electrostatic potentials around the nucleic acid. Site-bound Mg(2+) are strongly attracted to specifically arranged electronegative ligands that desolvate the ion and the RNA binding site. Thus, site-binding is a competition between the strong coulombic attraction and the large cost of desolvating the ion and its binding pocket. By using this framework, we analyze three systems where a single site-bound Mg(2+) may be important for stability: the P5 helix and the P5b stem loop from the P4-P6 domain of the Tetrahymena thermophila group I intron and a 58-nt fragment of the Escherichia coli 23S ribosomal RNA. Diffusely bound Mg(2+) play a dominant role in stabilizing these RNA structures. These ions stabilize the folded structures, in part, by accumulating in regions of high negative electrostatic potential. These regions of Mg(2+) localization correspond to ions that are observed in the x-ray crystallographic and NMR structures of the RNA. In contrast, the contribution of site-binding to RNA stability is often quite small because of the large desolvation penalty. However, in special cases, site-binding of partially dehydrated Mg(2+) to locations with extraordinarily high electrostatic potential can also help stabilize folded RNA structures.

摘要

我们提出了一个描述Mg(2+)如何结合并稳定特定RNA结构的模型。在该模型中,RNA的稳定源于Mg(2+)结合的两种能量上不同的模式:扩散结合和位点结合。扩散结合的Mg(2+)通过静电作用被吸引到RNA周围的强阴离子场,并且根据核酸周围的静电势分布,由泊松-玻尔兹曼方程精确描述为一个集合。位点结合的Mg(2+)被特别排列的电负性配体强烈吸引,这些配体使离子和RNA结合位点去溶剂化。因此,位点结合是强库仑吸引力与离子及其结合口袋去溶剂化的巨大代价之间的竞争。通过使用这个框架,我们分析了三个系统,其中单个位点结合的Mg(2+)对稳定性可能很重要:嗜热栖热菌I组内含子P4-P6结构域的P5螺旋和P5b茎环,以及大肠杆菌23S核糖体RNA的一个58个核苷酸的片段。扩散结合的Mg(2+)在稳定这些RNA结构中起主导作用。这些离子部分地通过在高负静电势区域积累来稳定折叠结构。这些Mg(2+)定位区域对应于在RNA的X射线晶体学和NMR结构中观察到的离子。相比之下,由于去溶剂化的巨大代价,位点结合对RNA稳定性的贡献通常相当小。然而,在特殊情况下,部分脱水的Mg(2+)在位点结合到具有极高静电势的位置也可以帮助稳定折叠的RNA结构。

相似文献

1
A thermodynamic framework for Mg2+ binding to RNA.镁离子与RNA结合的热力学框架。
Proc Natl Acad Sci U S A. 2001 Oct 23;98(22):12456-61. doi: 10.1073/pnas.221234598.
2
The linkage between magnesium binding and RNA folding.镁离子结合与RNA折叠之间的联系。
J Mol Biol. 2002 Apr 5;317(4):507-21. doi: 10.1006/jmbi.2002.5422.
6
On the role of magnesium ions in RNA stability.镁离子在RNA稳定性中的作用
Biopolymers. 1998;48(2-3):113-35. doi: 10.1002/(SICI)1097-0282(1998)48:2<113::AID-BIP3>3.0.CO;2-Y.

引用本文的文献

3
5
Measurement of the specific and non-specific binding energies of Mg to RNA.测量 Mg 与 RNA 的特异性和非特异性结合能。
Biophys J. 2022 Aug 16;121(16):3010-3022. doi: 10.1016/j.bpj.2022.07.020. Epub 2022 Jul 21.
7
The Peptidyl Transferase Center: a Window to the Past.肽基转移酶中心:洞察过去的窗口。
Microbiol Mol Biol Rev. 2021 Dec 15;85(4):e0010421. doi: 10.1128/MMBR.00104-21. Epub 2021 Nov 10.
8
Chelated Magnesium Logic Gate Regulates Riboswitch Pseudoknot Formation.螯合镁逻辑门调节核糖开关假结形成。
J Phys Chem B. 2021 Jun 24;125(24):6479-6490. doi: 10.1021/acs.jpcb.1c02467. Epub 2021 Jun 9.
9
Predicting Monovalent Ion Correlation Effects in Nucleic Acids.预测核酸中的单价离子相关效应。
ACS Omega. 2019 Aug 5;4(8):13435-13446. doi: 10.1021/acsomega.9b01689. eCollection 2019 Aug 20.

本文引用的文献

7
The Protein Data Bank.蛋白质数据库。
Nucleic Acids Res. 2000 Jan 1;28(1):235-42. doi: 10.1093/nar/28.1.235.
10
On the role of magnesium ions in RNA stability.镁离子在RNA稳定性中的作用
Biopolymers. 1998;48(2-3):113-35. doi: 10.1002/(SICI)1097-0282(1998)48:2<113::AID-BIP3>3.0.CO;2-Y.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验