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用于在有机溶剂中测量独立的剩余偶极耦合集的自组装寡肽两亲物可编程取向介质。

Programmable alignment media from self-assembled oligopeptide amphiphiles for the measurement of independent sets of residual dipolar couplings in organic solvents.

作者信息

Lin Yuexiao, Li Jiaqian, Qin Si-Yong, Sun Han, Yang Yan-Ling, Navarro-Vázquez Armando, Lei Xinxiang

机构信息

School of Pharmaceutical Sciences, South-Central University for Nationalities Wuhan 430074 China

Key Laboratory of Analytical Chemistry of the State Ethnic Affairs Commission, South-Central University for Nationalities Wuhan 430074 China.

出版信息

Chem Sci. 2022 Apr 14;13(20):5838-5845. doi: 10.1039/d2sc01057g. eCollection 2022 May 25.

Abstract

NMR spectroscopy in anisotropic media has emerged as a powerful technique for the structural elucidation of organic molecules. Its application requires weak alignment of analytes by means of suitable alignment media. Although a number of alignment media, that are compatible with organic solvents, have been introduced in the last 20 years, acquiring a number of independent, non-linearly related sets of anisotropic NMR data from the same organic solvent system remains a formidable challenge, which is however crucial for the alignment simulations and deriving dynamic and structural information of organic molecules unambiguously. Herein, we introduce a programmable strategy to construct several distinct peptide-based alignment media by adjusting the amino acid sequence, which allows us to measure independent sets of residual dipolar couplings (RDCs) in a highly efficient and accurate manner. This study opens a new avenue for structure determination of organic compounds without requiring prior structural information.

摘要

核磁共振光谱法在各向异性介质中已成为一种用于有机分子结构解析的强大技术。其应用需要借助合适的取向介质使分析物实现弱取向。尽管在过去20年里已引入了许多与有机溶剂兼容的取向介质,但从同一有机溶剂体系中获取多组独立的、非线性相关的各向异性核磁共振数据仍是一项艰巨的挑战,不过这对于取向模拟以及明确推导有机分子的动力学和结构信息至关重要。在此,我们介绍一种通过调整氨基酸序列来构建几种不同的基于肽的取向介质的可编程策略,这使我们能够高效且准确地测量多组独立的剩余偶极耦合(RDC)。这项研究为无需先验结构信息的有机化合物结构测定开辟了一条新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/9131869/c95ab6eacb70/d2sc01057g-s1.jpg

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