Suppr超能文献

基于G矩阵傅里叶变换NOESY的高质量蛋白质结构测定方案

G-matrix Fourier transform NOESY-based protocol for high-quality protein structure determination.

作者信息

Shen Yang, Atreya Hanudatta S, Liu Gaohua, Szyperski Thomas

机构信息

Department of Chemistry, The State University of New York at Buffalo, Buffalo, New York 14260, USA.

出版信息

J Am Chem Soc. 2005 Jun 29;127(25):9085-99. doi: 10.1021/ja0501870.

Abstract

A protocol for high-quality structure determination based on G-matrix Fourier transform (GFT) NMR is presented. Five through-bond chemical shift correlation experiments providing 4D and 5D spectral information at high digital resolution are performed for resonance assignment. These are combined with a newly implemented (4,3)D GFT NOESY experiment which encodes information of 4D 15N/15N-, 13C(alipahtic)/15N-, and 13C(aliphatic)/13C(aliphatic)-resolved [1H,1H]-NOESY in two subspectra, each containing one component of chemical shift doublets arising from 4D --> 3D projection at omega1:Omega(1H) +/- Omega(X) [X = 15N,13C(aliphatic)]. The peaks located at the centers of the doublets are obtained from simultaneous 3D 15N/13C(aliphatic)/13C(aromatic)-resolved [1H,1H]-NOESY, wherein NOEs detected on aromatic protons are also obtained. The protocol was applied for determining a high-quality structure of the 14 kDa Northeast Structural Genomics consortium target protein, YqfB (PDB ID ). Through-bond correlation and NOESY spectra were acquired, respectively, in 16.9 and 39 h (30 h for shift doublets, 9 h for central peaks) on a 600 MHz spectrometer equipped with a cryogenic probe. The rapidly collected highly resolved 4D NOESY information allows one to assign the majority of NOEs directly from chemical shifts, which yields accurate initial structures "within" approximately 2 angstroms of the final structure. Information theoretical "QUEEN" analysis of initial distance limit constraint networks revealed that, in contrast to structure-based protocols, such NOE assignment is not biased toward identifying additional constraints that tend to be redundant with respect to the available constraint network. The protocol enables rapid NMR data collection for robust high-quality structure determination of proteins up to approximately 20-25 kDa in high-throughput.

摘要

本文介绍了一种基于G矩阵傅里叶变换(GFT)核磁共振的高质量结构测定方案。进行了五个提供高数字分辨率的4D和5D光谱信息的通过键化学位移相关实验,用于共振归属。这些实验与新实施的(4,3)D GFT NOESY实验相结合,该实验在两个子光谱中编码4D 15N/15N-、13C(脂肪族)/15N-和13C(脂肪族)/13C(脂肪族)分辨的[1H,1H]-NOESY信息,每个子光谱包含一个由ω1:Ω(1H) +/- Ω(X) [X = 15N,13C(脂肪族)]处的4D→3D投影产生的化学位移双峰的一个组分。位于双峰中心的峰来自同时进行的3D 15N/13C(脂肪族)/13C(芳香族)分辨的[1H,1H]-NOESY实验,其中还获得了在芳香族质子上检测到的NOE。该方案用于确定14 kDa东北结构基因组学联盟目标蛋白YqfB(PDB ID)的高质量结构。在配备低温探头的600 MHz光谱仪上,分别在16.9小时和39小时(双峰30小时,中心峰9小时)内采集了通过键相关和NOESY光谱。快速收集的高分辨率4D NOESY信息使人们能够直接从化学位移中归属大部分NOE,从而产生与最终结构相差约2埃以内的准确初始结构。对初始距离限制约束网络的信息理论“QUEEN”分析表明,与基于结构的方案相比,这种NOE归属不会偏向于识别与可用约束网络冗余的额外约束。该方案能够在高通量条件下快速收集NMR数据,用于稳健地测定高达约20 - 25 kDa蛋白质的高质量结构。

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