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使用分子动力学模拟对修饰寡核苷酸进行热力学参数估计

Thermodynamic Parameter Estimation for Modified Oligonucleotides Using Molecular Dynamics Simulations.

作者信息

Park Soon Woo, Lee Junehawk, Park Jung Woo, Kim Moon Ki, Seo Sangjae

机构信息

Center for Nanotubes and Nanostructured Composites, Sungkyunkwan University, Suwon 16419, Republic of Korea.

Center for Biomedical Computing, Division of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon 34141, Republic of Korea.

出版信息

J Phys Chem B. 2025 Mar 20;129(11):2934-2945. doi: 10.1021/acs.jpcb.4c08344. Epub 2025 Mar 7.

Abstract

This study investigates the thermodynamic parameters of 1300 RNA/DNA hybrid duplexes, including both natural and chemically modified forms, using molecular dynamics (MD) simulations. Modified duplexes consist of phosphorothioate (PS) backbones and 2'--methoxyethyl (MOE) modifications, both commonly used in therapeutic oligonucleotides. Hybridization enthalpy and entropy were calculated from MD trajectories using molecular mechanics Poisson-Boltzmann surface area (MMPBSA) and molecular mechanics generalized Born surface area (MMGBSA) approaches. To address discrepancies with experimental data, we established empirical relationships by comparing calculated values with known experimental results of natural hybrid duplexes, then extended these relationships to the entire data set. The corrected parameters were subsequently used to generate nearest-neighbor (NN) models, allowing for experimentally reliable melting temperature predictions. In this process, MMGBSA demonstrated superior predictive performance with high convergence and consistency for both natural and modified duplexes. Specifically, MMGBSA captured the stabilizing effects of the MOE modification with minimal bias, while MMPBSA exhibited greater variability and limited reliability. These findings highlight the potential of MMGBSA for accurate thermodynamic modeling of both natural and modified nucleic acids, providing a robust framework and experimentally meaningful insights for applications in nucleic acid-based therapeutic design and biotechnology.

摘要

本研究使用分子动力学(MD)模拟研究了1300个RNA/DNA杂交双链体的热力学参数,包括天然形式和化学修饰形式。修饰的双链体由硫代磷酸酯(PS)主链和2'-甲氧基乙基(MOE)修饰组成,这两种修饰常用于治疗性寡核苷酸。使用分子力学泊松-玻尔兹曼表面积(MMPBSA)和分子力学广义玻恩表面积(MMGBSA)方法从MD轨迹计算杂交焓和熵。为了解决与实验数据的差异,我们通过将计算值与天然杂交双链体的已知实验结果进行比较建立了经验关系,然后将这些关系扩展到整个数据集。随后使用校正后的参数生成最近邻(NN)模型,从而实现实验上可靠的解链温度预测。在此过程中,MMGBSA对天然和修饰的双链体均表现出卓越的预测性能,具有高收敛性和一致性。具体而言,MMGBSA以最小偏差捕捉到了MOE修饰的稳定作用,而MMPBSA表现出更大的变异性和有限的可靠性。这些发现突出了MMGBSA在天然和修饰核酸的精确热力学建模方面的潜力,为基于核酸的治疗设计和生物技术应用提供了一个强大的框架和具有实验意义的见解。

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