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通过反馈过滤和自校正距离几何算法对蛋白质的模拟和实验NOESY谱进行自动分配

Automated assignment of simulated and experimental NOESY spectra of proteins by feedback filtering and self-correcting distance geometry.

作者信息

Mumenthaler C, Braun W

机构信息

Institut für Molekularbiologie und Biophysik Eidgenössische Technische Hochschule-Hönggerberg, Zürich, Switzerland.

出版信息

J Mol Biol. 1995 Dec 1;254(3):465-80. doi: 10.1006/jmbi.1995.0631.

Abstract

A new method for automatically assigning proton-proton NOESY spectra is described and demonstrated for simulated and experimental spectra of the proteins dendrotoxin K, alpha-amylase inhibitor tendamistat and the DNA-binding domain of the 434 repressor protein. The method assigns the NOESY spectrum and calculates three-dimensional protein structures simultaneously, using a list of proton chemical shifts and 3JNH alpha coupling constants. An ensemble of structures is iteratively calculated by self-correcting distance geometry from unambiguous and selected ambiguous NOESY cross peaks. New structure based filters recognize the correct constraints from the ambiguous cross peak list. For the first round of assignment neither a preliminary initial structure nor a sufficient set of unambiguous NOESY cross peaks is needed. The method can also be applied to cross peak lists containing hundreds of noise peaks. For an assumed tolerance of +/- 0.01 ppm in the chemical shifts of the peak positions, only about 10% of the NOESY cross peaks can be unambiguously assigned based on their chemical shifts alone. Our automated method assigned about 80% of all cross peaks with this chemical shift tolerance, and 95 to 99% of the assignments were correct. The average pairwise RMSD for the backbone atoms of the ten best final structures is about 1.5 A in all three proteins and the previously determined NMR solution structures are always embedded in this structure bundle. We regard our method as a highly practical tool for automatic calculation of three-dimensional protein structures from NMR spectra with minimal human interference.

摘要

本文描述了一种自动分配质子 - 质子NOESY谱的新方法,并在蛋白质树突毒素K、α - 淀粉酶抑制剂腱糖蛋白以及434阻遏蛋白的DNA结合结构域的模拟和实验谱中进行了演示。该方法使用质子化学位移列表和3JNHα耦合常数,同时分配NOESY谱并计算三维蛋白质结构。通过从明确和选定的模糊NOESY交叉峰进行自校正距离几何迭代计算结构集合。基于新结构的过滤器从模糊交叉峰列表中识别正确的约束。第一轮分配既不需要初步的初始结构,也不需要足够的明确NOESY交叉峰集合。该方法还可应用于包含数百个噪声峰的交叉峰列表。对于峰位置化学位移假定的±0.01 ppm公差,仅约10%的NOESY交叉峰可仅基于其化学位移明确分配。在这种化学位移公差下,我们的自动化方法分配了约80%的所有交叉峰,并且95%至99%的分配是正确的。在所有三种蛋白质中,十个最佳最终结构的主链原子的平均成对RMSD约为1.5 Å,并且先前确定的NMR溶液结构总是嵌入在此结构束中。我们认为我们的方法是一种高度实用的工具,可在最少人工干预的情况下从NMR光谱自动计算三维蛋白质结构。

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