Institute of Inorganic Chemistry, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland.
Acc Chem Res. 2010 Jul 20;43(7):974-84. doi: 10.1021/ar900197y.
The three-dimensional architecture and function of nucleic acids strongly depend on the presence of metal ions, among other factors. Given the negative charge of the phosphate-sugar backbone, positively charged species, mostly metal ions, are necessary for compensation. However, these ions also allow and induce folding of complicated RNA structures. Furthermore, metal ions bind to specific sites, stabilizing local motifs and positioning themselves correctly to aid (or even enable) a catalytic mechanism, as, for example, in ribozymes. Many nucleic acids thereby exhibit large differences in folding and activity depending not only on the concentration but also on the kind of metal ion involved. As a consequence, understanding the role of metal ions in nucleic acids requires knowing not only the exact positioning and coordination sphere of each specifically bound metal ion but also its intrinsic site affinity. However, the quantification of metal ion affinities toward certain sites in a single-stranded (though folded) nucleic acid is a demanding task, and few experimental data exist. In this Account, we present a new tool for estimating the binding affinity of a given metal ion, based on its ligating sites within the nucleic acid. To this end, we have summarized the available affinity constants of Mg(2+), Ca(2+), Mn(2+), Cu(2+), Zn(2+), Cd(2+), and Pb(2+) for binding to nucleobase residues, as well as to mono- and dinucleotides. We have also estimated for these ions the stability constants for coordinating the phosphodiester bridge. In this way, stability increments for each ligand site are obtained, and a clear selectivity of the ligating atoms, as well as their discrimination by different metal ions, can thus be recognized. On the basis of these data, we propose a concept that allows one to estimate the intrinsic stabilities of nucleic acid-binding pockets for these metal ions. For example, the presence of a phosphate group has a much larger influence on the overall affinity of Mg(2+), Ca(2+), or Mn(2+) compared with, for example, that of Cd(2+) or Zn(2+). In the case of Cd(2+) and Zn(2+), the guanine N7 position is the strongest intrinsic binding site. By adding up the individual increments like building blocks, one derives an estimate not only for the overall stability of a given coordination sphere but also for the most stable complex if an excess of ligating atoms is available in a binding pocket saturating the coordination sphere of the metal ion. Hence, this empirical concept of adding up known intrinsic stabilities, like building blocks, to an estimated overall stability will help in understanding the accelerating or inhibiting effects of different metal ions in ribozymes and DNAzymes.
核酸的三维结构和功能强烈依赖于金属离子等因素。由于磷酸-糖骨架带负电荷,因此需要带正电荷的物质(主要是金属离子)来补偿。然而,这些离子也允许并诱导复杂 RNA 结构的折叠。此外,金属离子结合到特定的位点,稳定局部基序并正确定位自身,以辅助(甚至实现)催化机制,例如核酶。许多核酸因此表现出很大的折叠和活性差异,不仅取决于浓度,还取决于涉及的金属离子种类。因此,要了解金属离子在核酸中的作用,不仅需要知道每个特定结合的金属离子的确切定位和配位球,还需要知道其内在的位点亲和力。然而,量化单链(尽管折叠)核酸中特定位点的金属离子亲和力是一项艰巨的任务,并且很少有实验数据。在本报告中,我们提出了一种基于核酸中配体位点来估计特定金属离子结合亲和力的新工具。为此,我们总结了 Mg(2+)、Ca(2+)、Mn(2+)、Cu(2+)、Zn(2+)、Cd(2+)和 Pb(2+)与碱基残基以及单核苷酸和二核苷酸结合的可用亲和常数。我们还估计了这些离子与磷酸二酯桥配位的稳定常数。通过这种方式,获得了每个配体位点的稳定性增量,并且可以清楚地识别配体原子的选择性及其被不同金属离子的区分。基于这些数据,我们提出了一个概念,允许人们估计这些金属离子对核酸结合口袋的内在稳定性。例如,与 Cd(2+)或 Zn(2+)相比,磷酸基团对 Mg(2+)、Ca(2+)或 Mn(2+)的整体亲和力的影响要大得多。在 Cd(2+)和 Zn(2+)的情况下,鸟嘌呤 N7 位置是最强的内在结合位点。通过像积木一样将各个增量相加,可以不仅估计给定配位球的整体稳定性,而且还可以估计如果配位球中存在过量的配体原子,则配位球达到饱和时最稳定的配合物。因此,这种将已知内在稳定性(如积木)相加到估计的整体稳定性的经验概念将有助于理解不同金属离子在核酶和 DNA 酶中的加速或抑制作用。