Quantum density principle governs DNA mutation fundamentals

IF 2 3区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY
Faisal Harold O. Haider, Micah Danielle Lojera
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引用次数: 0

Abstract

Spontaneous mutations arising from DNA base tautomerization represent a significant source of genetic variation driving evolution. Standard quantum mechanical models encounter challenges in fully accounting for observed mutation rates and their temperature resistance. We present a mathematical framework examining a potentially overdetermined system where proton wavefunctions must satisfy multiple boundary conditions across tunneling barriers. Mathematical consistency considerations (analyticity, boundary matching, unitarity, causality, and thermodynamic consistency) suggest a correction factor \(\gamma (\rho ) = (1 - \rho _2/\rho _1)^{-1/2}\), where \(\rho _1\) and \(\rho _2\) characterize probability and kinetic energy densities. This framework appears consistent with recent information-theoretic work based on quantum Fisher information principles. Our approach predicts experimentally observed phenomena including sequence-specific mutation rates, kinetic isotope effects, and non-Arrhenius temperature dependencies, with predictions aligning with experimental measurements across multiple datasets. We discuss how multi-isotopologue studies and single-molecule techniques might provide experimental validation, and compare our framework with alternative classical mechanisms. Our treatment enables computational identification of potential mutation hotspots with implications for understanding evolutionary processes and cancer mutagenesis.

量子密度原理支配着DNA突变的基本原理
由DNA碱基互变异构引起的自发突变是驱动进化的遗传变异的重要来源。标准量子力学模型在充分考虑观察到的突变率及其耐温性方面遇到了挑战。我们提出了一个数学框架来检查一个潜在的超确定系统,其中质子波函数必须满足穿越隧道障碍的多个边界条件。数学一致性考虑(分析性、边界匹配、统一性、因果性和热力学一致性)建议一个校正因子\(\gamma (\rho ) = (1 - \rho _2/\rho _1)^{-1/2}\),其中\(\rho _1\)和\(\rho _2\)表示概率和动能密度。这个框架似乎与最近基于量子费雪信息原理的信息理论工作相一致。我们的方法预测了实验观察到的现象,包括序列特异性突变率、动力学同位素效应和非阿伦尼乌斯温度依赖性,预测结果与多个数据集的实验测量结果一致。我们讨论了多同位素研究和单分子技术如何提供实验验证,并将我们的框架与其他经典机制进行了比较。我们的治疗方法能够计算识别潜在的突变热点,这对理解进化过程和癌症突变具有重要意义。
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来源期刊
Journal of Mathematical Chemistry
Journal of Mathematical Chemistry 化学-化学综合
CiteScore
3.70
自引率
17.60%
发文量
105
审稿时长
6 months
期刊介绍: The Journal of Mathematical Chemistry (JOMC) publishes original, chemically important mathematical results which use non-routine mathematical methodologies often unfamiliar to the usual audience of mainstream experimental and theoretical chemistry journals. Furthermore JOMC publishes papers on novel applications of more familiar mathematical techniques and analyses of chemical problems which indicate the need for new mathematical approaches. Mathematical chemistry is a truly interdisciplinary subject, a field of rapidly growing importance. As chemistry becomes more and more amenable to mathematically rigorous study, it is likely that chemistry will also become an alert and demanding consumer of new mathematical results. The level of complexity of chemical problems is often very high, and modeling molecular behaviour and chemical reactions does require new mathematical approaches. Chemistry is witnessing an important shift in emphasis: simplistic models are no longer satisfactory, and more detailed mathematical understanding of complex chemical properties and phenomena are required. From theoretical chemistry and quantum chemistry to applied fields such as molecular modeling, drug design, molecular engineering, and the development of supramolecular structures, mathematical chemistry is an important discipline providing both explanations and predictions. JOMC has an important role in advancing chemistry to an era of detailed understanding of molecules and reactions.
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