Tuning Hydrogen Bond Strength in GC (WC), GC* (HG), and GC+ (HG) Base Pairs via Substituents: An Interacting Quantum Atoms Analysis

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
F. Pakzad, K. Eskandari
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引用次数: 0

Abstract

Precise control over DNA stability and interactions is crucial for successful gene editing technologies. To achieve this, a detailed understanding of individual hydrogen bonds within GC (Watson-Crick) and GC*/GC+ (Hoogsteen) base pairs is essential, particularly regarding how strategic substitution of these base pairs modulates their strength and, ultimately, DNA stability. Leveraging the atomic-resolution capabilities of interacting quantum atoms (IQA) and interacting quantum fragments (IQF) analyses, this study investigates the impact of substituent position and electronic nature on individual hydrogen bond strengths in substituted GC (WC), GC* (HG) and GC+ (HG) base pairs. Our results reveal how the electronic properties of substituents and their specific location on the base pairs significantly influence the forces governing atomic interactions, ultimately impacting the strength of individual hydrogen bonds within GC (WC), GC* (HG) and GC+ (HG) base pairs. While IQA highlights the importance of classical interactions in stabilizing hydrogen bonds, IQF analysis, taking a more holistic perspective, reveals a more significant role for electron sharing, highlighting the intricate dance between these forces in shaping DNA stability. Furthermore, GC+ (HG) base pairs consistently exhibit stronger inter-fragment interactions compared to GC (WC) and GC* (HG) base pairs, consistent with their higher energy binding energies. The primary reason for the enhanced stability of the GC+ (HG) base pairs compared to the GC (WC) and GC* (HG) base pairs is that cytosine has added a proton to the Hoogsteen geometry, leading to strong inter-fragment interactions. By contrast, GC* (HG) geometries are substantially less favorable than GC (WC) and GC+ (HG) geometries. GC* (HG) base pairs consistently show weaker inter-fragment interactions compared to GC (WC) and GC+ (HG) bases. This reduction in stability is attributed to the substitution of the cytosine amino group with its imino tautomeric form at the electron-donating site of hydrogen bond a, which leads to a decrease in electron-donating ability and the polarity of the NH bond. Our findings demonstrate the feasibility of tuning the interactions within GC (WC), GC* (HG) and GC+ (HG) base pairs through strategic substitution, offering a powerful tool for manipulating DNA stability, function, and interactions with other molecules.

Abstract Image

通过取代基调整GC (WC), GC* (HG)和GC+ (HG)碱基对的氢键强度:相互作用的量子原子分析
精确控制DNA的稳定性和相互作用对于成功的基因编辑技术至关重要。为了实现这一目标,详细了解GC (Watson-Crick)和GC*/GC+ (Hoogsteen)碱基对中的单个氢键是必不可少的,特别是关于这些碱基对的战略性取代如何调节它们的强度,并最终调节DNA的稳定性。利用相互作用量子原子(IQA)和相互作用量子片段(IQF)分析的原子分辨能力,本研究研究了取代基位置和电子性质对取代GC (WC)、GC* (HG)和GC+ (HG)碱基对中单个氢键强度的影响。我们的研究结果揭示了取代基的电子性质及其在碱基对上的特定位置如何显著影响控制原子相互作用的力,最终影响GC (WC), GC* (HG)和GC+ (HG)碱基对内单个氢键的强度。虽然IQA强调了经典相互作用在稳定氢键中的重要性,但IQF分析从更全面的角度揭示了电子共享的更重要作用,强调了这些力量之间在塑造DNA稳定性方面的复杂舞蹈。此外,GC+ (HG)碱基对比GC (WC)和GC* (HG)碱基对表现出更强的片段间相互作用,这与它们具有更高的结合能相一致。与GC (WC)和GC* (HG)碱基对相比,GC+ (HG)碱基对稳定性增强的主要原因是胞嘧啶在Hoogsteen几何结构中增加了一个质子,从而导致了强烈的片段间相互作用。相比之下,GC* (HG)的几何形状明显不如GC (WC)和GC+ (HG)的几何形状有利。与GC (WC)和GC+ (HG)碱基相比,GC* (HG)碱基始终表现出较弱的片段间相互作用。稳定性的降低是由于在氢键a的供电子位点上以亚氨基互变异构体形式取代了胞嘧啶氨基,导致供电子能力和N - H键极性的降低。我们的研究结果证明了通过战略性取代调整GC (WC)、GC* (HG)和GC+ (HG)碱基对内部相互作用的可行性,为操纵DNA的稳定性、功能和与其他分子的相互作用提供了强有力的工具。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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