Soon Woo Park, Junehawk Lee, Jung Woo Park, Moon Ki Kim* and Sangjae Seo*,
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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.</p>","PeriodicalId":60,"journal":{"name":"The Journal of Physical Chemistry B","volume":"129 11","pages":"2934–2945 2934–2945"},"PeriodicalIF":2.9000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Thermodynamic Parameter Estimation for Modified Oligonucleotides Using Molecular Dynamics Simulations\",\"authors\":\"Soon Woo Park, Junehawk Lee, Jung Woo Park, Moon Ki Kim* and Sangjae Seo*, \",\"doi\":\"10.1021/acs.jpcb.4c0834410.1021/acs.jpcb.4c08344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >This study investigates the thermodynamic parameters of 1300 RNA/DNA hybrid duplexes, including both natural and chemically modified forms, using molecular dynamics (MD) simulations. 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Specifically, MMGBSA captured the stabilizing effects of the MOE modification with minimal bias, while MMPBSA exhibited greater variability and limited reliability. 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引用次数: 0
摘要
本研究利用分子动力学(MD)模拟研究了1300种RNA/DNA杂化双工的热力学参数,包括天然形式和化学修饰形式。修饰的双链由硫代磷酸酯(PS)骨架和2 ' - o -甲氧基乙基(MOE)修饰组成,两者都常用于治疗性寡核苷酸。利用分子力学泊松-玻尔兹曼表面积(MMPBSA)和分子力学广义玻恩表面积(MMGBSA)方法计算了杂化焓和熵。为了解决与实验数据的差异,我们通过将计算值与已知的天然混合双组分实验结果进行比较,建立了经验关系,然后将这些关系扩展到整个数据集。校正后的参数随后用于生成最近邻(NN)模型,从而实现实验上可靠的熔化温度预测。在此过程中,MMGBSA对天然双工和改性双工都表现出了卓越的预测性能,具有高收敛性和一致性。具体来说,MMGBSA以最小的偏差捕获了MOE修饰的稳定效应,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的应用提供了一个强大的框架和实验上有意义的见解。
Thermodynamic Parameter Estimation for Modified Oligonucleotides Using Molecular Dynamics Simulations
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′-O-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.
期刊介绍:
An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.