利用测量的剩余偶极偶联来计算蛋白质结构的剩余偶极偶联:以蛋清溶菌酶为例研究。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Maria Pechlaner,Wilfred F van Gunsteren,Niels Hansen,Lorna J Smith
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引用次数: 0

摘要

[13C,15N]标记的蛋清溶菌酶(HEWL, 320 RDC)在温度为308 K, pH为3.8的醚双胞溶液中进行核磁共振实验得到5组RDC值,应用对准张量法(at)和磁场旋转采样法(HRS)两种方法,对HEWL的5个x射线结构计算RDC值。研究测量的RDC值与蛋白质结构测定或精炼的相关性。相比其他数量Q可见通过核磁共振,如一个强度或3 j-couplings,问的关系(r)之间的数量Q和r单一结构的蛋白质可用于计算平均值⟨Q (r)⟩,平均在Boltzmann-weighted蛋白质在有限温度下的结构整体解决方案,没有定义RDC的单一结构但平均略非均匀转动和取向分布的蛋白质。这种大正值和负值之间的平均值将偶极耦合(DC)的kHz大小减少了103到104倍,到残余偶极耦合(RDC)的Hz范围。由于不均匀的取向分布既不能在计算机上以原子分辨率测量也不能忠实地模拟,因此通常通过以一种或另一种方式改变蛋白质的取向分布,将给定的一组测量目标RDC值的计算值与实测值之间的差最小化来计算给定蛋白质结构的RDC值。RDC的这三个特点是:由于对方向进行平均而大大减小了尺寸;根据未知的、不可测量的方向分布来定义RDC;使用一组目标RDC值来计算RDC,这导致计算的RDC值对计算中使用的特定RDC集的大小和类型具有敏感性。与NOE强度或3d偶联相比,这降低了测量的rdc对结构测定或蛋白质精化的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Measured Residual Dipolar Couplings to Calculate Residual Dipolar Couplings for a Protein Structure: A Case Study Using Hen Egg-White Lysozyme.
Five sets of RDC values for the backbone of [13C,15N]-labeled Hen Egg-White Lysozyme (HEWL, 320 RDCs), obtained from NMR experiments of the protein in an ether bicelle solution at a temperature of 308 K and pH 3.8, were used to calculate RDC values by application of two methods, the alignment-tensor (AT) method and the method of magnetic-field rotational sampling (HRS), applied to five X-ray structures of HEWL, to investigate the relevance of measured RDC values for the structure determination or refinement of proteins. In contrast to other quantities Q observable by NMR, such as NOE intensities or 3J-couplings, for which a relation Q(r) between the quantity Q and a single structure r of a protein can be used to calculate average values ⟨Q(r)⟩, averaged over the Boltzmann-weighted structural ensemble of the protein at finite temperature in solution, an RDC is not defined in terms of a single structure but as an average over a slightly nonuniform rotational and orientation distribution of the protein. This averaging between large positive and negative values reduces the kHz size of a dipolar coupling (DC) by a factor of 103 to 104 to the Hz range of a residual dipolar coupling (RDC). Since the nonuniform orientation distribution can neither be measured nor faithfully mimicked at atomic resolution on a computer, RDC values for a given protein structure are commonly calculated by minimizing the difference between calculated and measured RDC values for a given set of measured target RDC values by varying the orientation distribution of the protein in one way or the other. These three features of RDCs, a very large reduction of size as a result of averaging over orientations, their definition in terms of an unknown, immeasurable orientation distribution, and their calculation using a set of target RDC values, lead to a sensitivity of the calculated RDC values to the size and type of the particular set of RDCs used in the calculation. This reduces the usefulness of measured RDCs for structure determination or refinement of proteins compared to NOE intensities or 3J-couplings.
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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