Suppr超能文献

Mg2+和Ca2+在DNA弯曲中的作用:基于ONIOM的DNA片段量子力学-分子力学研究的证据

Role of Mg2+ and Ca2+ in DNA bending: evidence from an ONIOM-based QM-MM study of a DNA fragment.

作者信息

Sundaresan Neethu, Pillai C K S, Suresh Cherumuttathu H

机构信息

Polymer Chemistry Section of the Chemical Sciences Division and Computational Modeling and Simulation Section, Regional Research Laboratory (CSIR), Trivandrum 695 019, India.

出版信息

J Phys Chem A. 2006 Jul 20;110(28):8826-31. doi: 10.1021/jp061774q.

Abstract

The binding of hydrated Mg2+ and Ca2+ ions with a DNA fragment containing two phosphate groups, three sugar units, and a G.C base pair is modeled in the anion and dianion states using a three-layer ONIOM approach. A monodentate binding mode was the most stable structure observed for both the ions in the anion model. However, the interactions of Mg2+ and Ca2+ with the dianion model of the DNA fragment gave rise to a large structural deformation at the base pair region, leading to the formation of "ring" structures. In both anion and dianion models, Mg2+-bound structures were considerably more stable than the corresponding Ca2+-bound structures. This feature and the formation of ring structures in the dianion models strongly supported the higher coordination power of the Mg2+ toward DNA systems for its compaction. The charge of the DNA fragment appeared to be crucial in deciding the binding strength as well as the binding mechanism of the metal ions. To the best of our knowledge, this is the first theoretical investigation of the interaction of a comparatively larger DNA model system with the biologically important Mg2+ and Ca2+ ions.

摘要

采用三层 ONIOM 方法,对水合 Mg2+ 和 Ca2+ 离子与包含两个磷酸基团、三个糖单元和一个 G.C 碱基对的 DNA 片段在阴离子和二价阴离子状态下的结合进行了建模。在阴离子模型中,单齿结合模式是这两种离子观察到的最稳定结构。然而,Mg2+ 和 Ca2+ 与 DNA 片段的二价阴离子模型的相互作用在碱基对区域引起了较大的结构变形,导致了“环”结构的形成。在阴离子和二价阴离子模型中,与 Mg2+ 结合的结构比相应的与 Ca2+ 结合的结构稳定得多。这一特征以及二价阴离子模型中环结构的形成有力地支持了 Mg2+ 对 DNA 系统更高的配位能力,有利于其压缩。DNA 片段的电荷在决定金属离子的结合强度以及结合机制方面似乎至关重要。据我们所知,这是首次对相对较大的 DNA 模型系统与生物学上重要的 Mg2+ 和 Ca2+ 离子之间的相互作用进行理论研究。

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