Proton Transfer in Methylated G–C: Nuclear Quantum Effects and Water-Assisted Hopping

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Juliana Gonçalves de Abrantes, Adam Pestana Motala, Ian Riddlestone, Louie Slocombe, Marco Sacchi
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引用次数: 0

Abstract

Methylation of DNA nucleobases is a naturally occurring process in living organisms. Usually, it functions as a gene regulation marker and is connected to inheritable epigenetic effects. However, the methylation of guanine in the O6 position due to external agents disrupts the hydrogen bonding between pairing bases and may have mutagenic effects. In this paper, we use density functional theory (DFT) to investigate the Double Proton Transfer (DPT) between methyl-guanine (mG) and cytosine. We compare the DPT dynamics between mG-C and unmethylated G-C using ab initio nuclear quantum dynamics as implemented in the Nuclear-Electronic Orbital (NEO-DFT) approach, where the protons involved in the transfer are described at the same quantum-mechanical level as the electrons of the system. We find that nuclear quantum effects facilitate the DPT for both systems but increase the rate of point mutations for the canonical base pair G-C more significantly. Noteworthy, when similar calculations are performed in the presence of explicit solvent and strand separation, the DPT mechanism becomes assisted by water, lowering the energy barrier of the reaction.
甲基化G-C中的质子转移:核量子效应和水辅助跳跃
DNA核碱基的甲基化是生物体中自然发生的过程。通常,它作为一个基因调控标记,并与可遗传的表观遗传效应有关。然而,由于外源作用,鸟嘌呤在O6位置的甲基化会破坏配对碱基之间的氢键,并可能具有诱变作用。本文利用密度泛函理论(DFT)研究了甲基鸟嘌呤(mG)和胞嘧啶之间的双质子转移(DPT)。我们使用从头算核量子动力学来比较mG-C和未甲基化G-C之间的DPT动力学,这是在核电子轨道(NEO-DFT)方法中实现的,其中参与转移的质子与系统的电子在相同的量子力学水平上被描述。我们发现核量子效应促进了这两种体系的DPT,但更显著地增加了规范碱基对G-C的点突变率。值得注意的是,当在明确的溶剂和链分离存在的情况下进行类似的计算时,DPT机制得到水的辅助,降低了反应的能垒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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