核酸力场中二面体扭转能项的广义框架。

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Chungwen Liang*, David Pekker, Alessio Valentini and Swagatam Mukhopadhyay, 
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引用次数: 0

摘要

大规模生物分子系统的精确建模依赖于高质量的力场(FF)模型。虽然原子核酸FFs在过去四十年中得到了改进,但仍然缺乏一个适用于不同环境的天然和化学修饰核酸的通用框架。在这项工作中,我们介绍了一种用于开发适用于所有核酸系统的扭转能参数的一般方法。我们的方法同时参数化了核酸中的关键二面角,这对于模拟其在生理相关温度和溶剂环境下的构象至关重要。由此产生的FF Creyon25达到了与最新的AMBER和CHARMM模型相当的精度,但相比之下,我们的框架可推广到化学修饰(连接体,糖和碱)。我们在广泛的RNA和DNA结构中验证Creyon25,包括四聚体、四环体和双链体。我们发现Creyon25 RNA模型准确地再现了实验观察到的结构,尽管Creyon25 DNA模型仍有改进的空间。这项工作代表了为化学修饰的核酸创造强大的FFs的重要一步,支持了寡核苷酸治疗的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Generalized Framework for Developing Dihedral Torsion Energy Terms in Nucleic Acids Force Fields

A Generalized Framework for Developing Dihedral Torsion Energy Terms in Nucleic Acids Force Fields

Accurate modeling of large-scale biomolecular systems depends on high-quality force field (FF) models. While atomistic nucleic acid FFs have improved over the past four decades, a universal framework for both natural and chemically modified nucleic acids across diverse environments remains lacking. In this work, we introduce a general methodology for developing torsional energy parameters that apply to all nucleic acid systems. Our approach simultaneously parametrizes key dihedral angles in nucleic acids critical to simulating their conformations at physiologically relevant temperatures and solvent environments. The resulting FF, Creyon25, achieves accuracy comparable to the latest AMBER and CHARMM models, but our framework in contrast is generalizable to chemical modifications (in linker, sugar and base). We validate Creyon25 across a wide range of RNA and DNA structures, including tetramers, tetraloops, and duplexes. We found that the Creyon25 RNA model accurately reproduces experimentally observed structures, although there is still room for improvement in the Creyon25 DNA model. This work represents a major step toward creating robust FFs for chemically modified nucleic acids, supporting the advancement of oligonucleotide therapies.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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