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精确的蛋白质动态构象集合:结合AlphaFold、分子动力学(MD)和酰胺N(H)核磁共振弛豫

Accurate Protein Dynamic Conformational Ensembles: Combining AlphaFold, MD, and Amide N(H) NMR Relaxation.

作者信息

Lesovoy Dmitry, Roshchin Konstantin, Sala Benedetta Maria, Sandalova Tatyana, Achour Adnane, Agback Tatiana, Agback Peter, Orekhov Vladislav

机构信息

Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, 117997 Moscow, Russia.

Science for Life Laboratory, Department of Medicine, Karolinska Institute, SE-171 65 Solna, Sweden.

出版信息

Int J Mol Sci. 2025 Sep 12;26(18):8917. doi: 10.3390/ijms26188917.

DOI:10.3390/ijms26188917
PMID:41009484
Abstract

Conformational heterogeneity is essential for protein function, yet validating theoretical molecular dynamics (MD) ensembles remains a significant challenge. In this study, we present an approach that integrates free MD simulations, starting from an AlphaFold-generated structure, with refined experimental NMR-relaxation data to identify biologically relevant holistic time-resolved 4D conformational ensembles. Specifically, we select trajectory segments (RMSD plateaus) consistent with experimental observables. For the extracellular region of PsrSp, we found that only specific segments of the long MD trajectory aligned well with experimental data. The resulting ensembles revealed two regions with increased flexibility, both of which play important functional roles.

摘要

构象异质性对蛋白质功能至关重要,但验证理论分子动力学(MD)系综仍然是一项重大挑战。在本研究中,我们提出了一种方法,该方法从AlphaFold生成的结构开始,将自由MD模拟与精细的实验NMR弛豫数据相结合,以识别生物学相关的整体时间分辨4D构象系综。具体而言,我们选择与实验观测值一致的轨迹片段(RMSD平台)。对于PsrSp的细胞外区域,我们发现长MD轨迹中只有特定片段与实验数据良好对齐。所得系综揭示了两个灵活性增加的区域,这两个区域均发挥重要的功能作用。

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本文引用的文献

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Beyond static structures: protein dynamic conformations modeling in the post-AlphaFold era.超越静态结构:后AlphaFold时代的蛋白质动态构象建模
Brief Bioinform. 2025 Jul 2;26(4). doi: 10.1093/bib/bbaf340.
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Scalable emulation of protein equilibrium ensembles with generative deep learning.利用生成式深度学习对蛋白质平衡系综进行可扩展模拟。
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PRESERVE: adding variable flip-angle excitation to transverse relaxation-optimized NMR spectroscopy.PRESERVE:在横向弛豫优化的核磁共振波谱中添加可变翻转角激发。
Magn Reson (Gott). 2024 Sep 12;5(2):131-142. doi: 10.5194/mr-5-131-2024. eCollection 2024.
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DiffModeler: large macromolecular structure modeling for cryo-EM maps using a diffusion model.DiffModeler:使用扩散模型对冷冻电镜图谱进行大分子结构建模。
Nat Methods. 2024 Dec;21(12):2307-2317. doi: 10.1038/s41592-024-02479-0. Epub 2024 Oct 21.
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Structure prediction of alternative protein conformations.蛋白质变构构象预测。
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