Suppr超能文献

分子模拟研究 RNA 识别中 N6-甲基化的影响:提高结合自由能预测的准确性和精度。

Molecular Simulations to Investigate the Impact of N6-Methylation in RNA Recognition: Improving Accuracy and Precision of Binding Free Energy Prediction.

机构信息

Scuola Internazionale Superiore di Studi Avanzati, SISSA, Via Bonomea 265, Trieste 34136, Italy.

Area Science Park, località Padriciano, 99, Trieste 34149, Italy.

出版信息

J Phys Chem B. 2024 Sep 19;128(37):8896-8907. doi: 10.1021/acs.jpcb.4c03397. Epub 2024 Sep 6.

Abstract

N6-Methyladenosine (mA) is a prevalent RNA post-transcriptional modification that plays crucial roles in RNA stability, structural dynamics, and interactions with proteins. The YT521-B (YTH) family of proteins, which are notable mA readers, functions through its highly conserved YTH domain. Recent structural investigations and molecular dynamics (MD) simulations have shed light on the mechanism of recognition of mA by the YTHDC1 protein. Despite advancements, using MD to predict the stabilization induced by mA on the free energy of binding between RNA and YTH proteins remains challenging due to inaccuracy of the employed force field and limited sampling. For instance, simulations often fail to sufficiently capture the hydration dynamics of the binding pocket. This study addresses these challenges through an innovative methodology that integrates metadynamics, alchemical simulations, and force-field refinement. Importantly, our research identifies hydration of the binding pocket as giving only a minor contribution to the binding free energy and emphasizes the critical importance of precisely tuning force-field parameters to experimental data. By employing a fitting strategy built on alchemical calculations, we refine the mA partial charge parameters, thereby enabling the simultaneous reproduction of N6 methylation on both the protein binding free energy and the thermodynamic stability of nine RNA duplexes. Our findings underscore the sensitivity of binding free energies to partial charges, highlighting the necessity for thorough parametrization and validation against experimental observations across a range of structural contexts.

摘要

N6-甲基腺苷(mA)是一种普遍存在的 RNA 转录后修饰,在 RNA 稳定性、结构动态和与蛋白质相互作用中发挥着关键作用。YTH 家族蛋白是显著的 mA 读码蛋白,其功能通过其高度保守的 YTH 结构域实现。最近的结构研究和分子动力学(MD)模拟揭示了 YTHDC1 蛋白识别 mA 的机制。尽管取得了进展,但由于所采用的力场不准确和采样有限,使用 MD 预测 mA 对 RNA 和 YTH 蛋白结合自由能的稳定化作用仍然具有挑战性。例如,模拟往往无法充分捕捉结合口袋的水合动力学。本研究通过一种整合了元动力学、变分模拟和力场修正的创新方法来解决这些挑战。重要的是,我们的研究确定了结合口袋的水合作用对结合自由能的贡献很小,并强调了精确调整力场参数以适应实验数据的重要性。通过基于变分计算的拟合策略,我们修正了 mA 部分电荷参数,从而能够同时再现蛋白质结合自由能和 9 个 RNA 双链体热力学稳定性上的 N6 甲基化。我们的发现强调了结合自由能对部分电荷的敏感性,突出了在各种结构背景下对广泛的实验观察进行彻底参数化和验证的必要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验