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基于配体的 NMR 方法研究蛋白-配体复合物。

Investigation of protein-ligand complexes by ligand-based NMR methods.

机构信息

Dipartimento di Scienze Chimiche, Complesso Universitario Monte Sant'Angelo, Università di Napoli Federico II, Via Cintia 4, I-80126, Napoli, Italy.

Dipartimento di Scienze Chimiche, Complesso Universitario Monte Sant'Angelo, Università di Napoli Federico II, Via Cintia 4, I-80126, Napoli, Italy; GSK, Via Fiorentina 1, 53100, Siena, Italy.

出版信息

Carbohydr Res. 2021 May;503:108313. doi: 10.1016/j.carres.2021.108313. Epub 2021 Apr 9.

Abstract

Molecular recognition is at the base of all biological events and its knowledge at atomic level is pivotal in the development of new drug design approaches. NMR spectroscopy is one of the most widely used technique to detect and characterize transient ligand-receptor interactions in solution. In particular, ligand-based NMR approaches, including NOE-based NMR techniques, diffusion experiments and relaxation methods, are excellent tools to investigate how ligands interact with their receptors. Here we describe the key structural information that can be achieved on binding processes thanks to the combined used of advanced NMR and computational methods. Saturation Transfer Difference NMR (STD-NMR), WaterLOGSY, diffusion- and relaxation-based experiments, together with tr-NOE techniques allow, indeed, to investigate the ligand behavior when bound to a receptor, determining, among others, the epitope map of the ligand and its bioactive conformation. The combination of these NMR techniques with computational methods, including docking, molecular dynamics and CORCEMA-ST analysis, permits to define and validate an accurate 3D model of protein-ligand complexes.

摘要

分子识别是所有生物事件的基础,其原子水平的知识是开发新药设计方法的关键。NMR 光谱学是检测和表征溶液中瞬时配体-受体相互作用的最广泛使用的技术之一。特别是基于配体的 NMR 方法,包括基于 NOE 的 NMR 技术、扩散实验和弛豫方法,是研究配体如何与受体相互作用的极好工具。在这里,我们描述了由于结合使用先进的 NMR 和计算方法而在结合过程中可以获得的关键结构信息。饱和转移差异 NMR(STD-NMR)、WaterLOGSY、基于扩散和弛豫的实验以及 tr-NOE 技术确实可以研究配体与受体结合时的行为,确定配体的表位图及其生物活性构象等。这些 NMR 技术与计算方法(包括对接、分子动力学和 CORCEMA-ST 分析)的结合,可以定义和验证蛋白质-配体复合物的准确 3D 模型。

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