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利用顺磁核磁共振波谱探究生物分子相互作用

Probing Biomolecular Interactions with Paramagnetic Nuclear Magnetic Resonance Spectroscopy.

作者信息

Busch Hannah, Yasir Ateeque Muhammad, Taube Florian, Wiegand Thomas, Corzilius Björn, Künze Georg

机构信息

Institute of Technical and Macromolecular Chemistry, RWTH Aachen University, Worringerweg 2, 52074, Aachen, Germany.

Institute for Drug Discovery, University of Leipzig, Brüderstr. 34, 04103, Leipzig, Germany.

出版信息

Chembiochem. 2025 Mar 15;26(6):e202400903. doi: 10.1002/cbic.202400903. Epub 2025 Jan 13.

Abstract

Recent advances in computational methods like AlphaFold have transformed structural biology, enabling accurate modeling of protein complexes and driving applications in drug discovery and protein engineering. However, predicting the structure of systems involving weak, transient, or dynamic interactions, or of complexes with disordered regions, remains challenging. Nuclear Magnetic Resonance (NMR) spectroscopy offers atomic-level insights into biomolecular complexes, even in weakly interacting and dynamic systems. Paramagnetic NMR, in particular, provides long-range structural restraints, easily exceeding distances over 25 Å, making it ideal for studying large protein complexes. Advances in chemical tools for introducing paramagnetic tags into proteins, combined with progress in electron paramagnetic resonance (EPR) spectroscopy, have enhanced the method's utility. This perspective article discusses paramagnetic NMR approaches for analyzing biomolecular complexes in solution and in the solid state, emphasizing quantities like pseudocontact shifts, residual dipolar couplings, and paramagnetic relaxation enhancements. Additionally, dynamic nuclear polarization offers a promising method to amplify NMR signals of large complexes, even in complex environments. The integration of AlphaFold protein structure prediction with paramagnetic NMR holds great potential for advancing our understanding of biomolecular interactions.

摘要

像AlphaFold这样的计算方法的最新进展已经改变了结构生物学,能够对蛋白质复合物进行精确建模,并推动了药物发现和蛋白质工程中的应用。然而,预测涉及弱相互作用、瞬态相互作用或动态相互作用的系统结构,或具有无序区域的复合物的结构,仍然具有挑战性。核磁共振(NMR)光谱能够提供关于生物分子复合物的原子水平见解,即使在弱相互作用和动态系统中也是如此。特别是顺磁NMR,它提供远程结构限制,轻松超过25埃的距离,使其成为研究大型蛋白质复合物的理想选择。将顺磁标签引入蛋白质的化学工具的进展,与电子顺磁共振(EPR)光谱的进展相结合,增强了该方法的实用性。这篇观点文章讨论了用于分析溶液和固态生物分子复合物的顺磁NMR方法,重点介绍了诸如赝接触位移、剩余偶极耦合和顺磁弛豫增强等参数。此外,动态核极化提供了一种有前景的方法,即使在复杂环境中也能放大大型复合物的NMR信号。将AlphaFold蛋白质结构预测与顺磁NMR相结合,对于推进我们对生物分子相互作用的理解具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a9/11907393/0ac57927984c/CBIC-26-e202400903-g007.jpg

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