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结合距离几何和受限分子动力学技术从核磁共振数据确定蛋白质结构:应用于大肠杆菌乳糖阻遏物的DNA结合结构域

Combined procedure of distance geometry and restrained molecular dynamics techniques for protein structure determination from nuclear magnetic resonance data: application to the DNA binding domain of lac repressor from Escherichia coli.

作者信息

de Vlieg J, Scheek R M, van Gunsteren W F, Berendsen H J, Kaptein R, Thomason J

机构信息

Laboratory of Physical Chemistry, University of Groningen, The Netherlands.

出版信息

Proteins. 1988;3(4):209-18. doi: 10.1002/prot.340030402.

Abstract

The technique of two-dimensional nuclear magnetic resonance (2D-NMR) has recently assumed an active role in obtaining information on structures of polypeptides, small proteins, sugars, and DNA fragments in solution. In order to generate spatial structures from the atom-atom distance information obtained by the NMR method, different procedures have been developed. Here we introduce a combined procedure of distance geometry (DG) and molecular dynamics (MD) calculations for generating 3D structures that are consistent with the NMR data set and have reasonable internal energies. We report the application of the combined procedure on the lac repressor DNA binding domain (headpiece) using a set of 169 NOE and 17 "hydrogen bond" distance constraints. Eight of ten structures generated by the distance geometry algorithm were refined within 10 ps MD simulation time to structures with low internal energies that satisfied the distance constraints. Although the combination of DG and MD was designed to combine the good sampling properties of the DG algorithm with an efficient method of lowering the internal energy of the molecule, we found that the MD algorithm contributes significantly to the sampling as well.

摘要

二维核磁共振(2D-NMR)技术最近在获取溶液中多肽、小蛋白质、糖类和DNA片段的结构信息方面发挥了积极作用。为了根据核磁共振方法获得的原子间距离信息生成空间结构,人们开发了不同的程序。在此,我们介绍一种结合距离几何(DG)和分子动力学(MD)计算的程序,用于生成与核磁共振数据集一致且具有合理内能的三维结构。我们报告了该结合程序在乳糖阻遏蛋白DNA结合结构域(头部)上的应用,使用了一组169个NOE和17个“氢键”距离约束。距离几何算法生成的十个结构中有八个在10皮秒的分子动力学模拟时间内被优化为具有低内能且满足距离约束的结构。尽管DG和MD的结合旨在将DG算法良好的采样特性与降低分子内能的有效方法相结合,但我们发现MD算法在采样方面也做出了显著贡献。

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