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HIFI-C:一种从自适应三维到二维投影确定核磁共振耦合的强大且快速的方法。

HIFI-C: a robust and fast method for determining NMR couplings from adaptive 3D to 2D projections.

作者信息

Cornilescu Gabriel, Bahrami Arash, Tonelli Marco, Markley John L, Eghbalnia Hamid R

机构信息

National Magnetic Resonance Facility at Madison, University of Wisconsin-Madison, Madison, WI 53706, USA.

出版信息

J Biomol NMR. 2007 Aug;38(4):341-51. doi: 10.1007/s10858-007-9173-7. Epub 2007 Jul 4.

Abstract

We describe a novel method for the robust, rapid, and reliable determination of J couplings in multi-dimensional NMR coupling data, including small couplings from larger proteins. The method, "High-resolution Iterative Frequency Identification of Couplings" (HIFI-C) is an extension of the adaptive and intelligent data collection approach introduced earlier in HIFI-NMR. HIFI-C collects one or more optimally tilted two-dimensional (2D) planes of a 3D experiment, identifies peaks, and determines couplings with high resolution and precision. The HIFI-C approach, demonstrated here for the 3D quantitative J method, offers vital features that advance the goal of rapid and robust collection of NMR coupling data. (1) Tilted plane residual dipolar couplings (RDC) data are collected adaptively in order to offer an intelligent trade off between data collection time and accuracy. (2) Data from independent planes can provide a statistical measure of reliability for each measured coupling. (3) Fast data collection enables measurements in cases where sample stability is a limiting factor (for example in the presence of an orienting medium required for residual dipolar coupling measurements). (4) For samples that are stable, or in experiments involving relatively stronger couplings, robust data collection enables more reliable determinations of couplings in shorter time, particularly for larger biomolecules. As a proof of principle, we have applied the HIFI-C approach to the 3D quantitative J experiment to determine N-C' RDC values for three proteins ranging from 56 to 159 residues (including a homodimer with 111 residues in each subunit). A number of factors influence the robustness and speed of data collection. These factors include the size of the protein, the experimental set up, and the coupling being measured, among others. To exhibit a lower bound on robustness and the potential for time saving, the measurement of dipolar couplings for the N-C' vector represents a realistic "worst case analysis". These couplings are among the smallest currently measured, and their determination in both isotropic and anisotropic media demands the highest measurement precision. The new approach yielded excellent quantitative agreement with values determined independently by the conventional 3D quantitative J NMR method (in cases where sample stability in oriented media permitted these measurements) but with a factor of 2-5 in time savings. The statistical measure of reliability, measuring the quality of each RDC value, offers valuable adjunct information even in cases where modest time savings may be realized.

摘要

我们描述了一种用于在多维核磁共振耦合数据中稳健、快速且可靠地测定J耦合的新方法,包括来自较大蛋白质的小耦合。该方法“耦合的高分辨率迭代频率识别”(HIFI-C)是早期在HIFI-NMR中引入的自适应智能数据采集方法的扩展。HIFI-C采集三维实验的一个或多个最佳倾斜二维(2D)平面,识别峰,并以高分辨率和精度确定耦合。这里针对三维定量J方法展示的HIFI-C方法具有推进核磁共振耦合数据快速稳健采集目标的重要特征。(1)自适应采集倾斜平面剩余偶极耦合(RDC)数据,以便在数据采集时间和准确性之间进行智能权衡。(2)来自独立平面的数据可为每个测量的耦合提供可靠性的统计度量。(3)快速数据采集能够在样品稳定性是限制因素的情况下进行测量(例如在存在剩余偶极耦合测量所需的定向介质时)。(4)对于稳定的样品,或在涉及相对较强耦合的实验中,稳健的数据采集能够在更短的时间内更可靠地确定耦合,特别是对于较大的生物分子。作为原理证明,我们已将HIFI-C方法应用于三维定量J实验,以确定三种蛋白质(残基数从56到159,包括每个亚基有111个残基的同二聚体)的N-C' RDC值。许多因素会影响数据采集的稳健性和速度。这些因素包括蛋白质的大小、实验设置以及所测量的耦合等。为了展示稳健性的下限和节省时间的潜力,对N-C'向量的偶极耦合测量代表了一种现实的“最坏情况分析”。这些耦合是目前测量的最小耦合之一,并且在各向同性和各向异性介质中对它们的测定都需要最高的测量精度。新方法与通过传统三维定量J核磁共振方法独立确定的值(在定向介质中样品稳定性允许这些测量的情况下)产生了极好的定量一致性,但节省了2至5倍的时间。可靠性的统计度量,即测量每个RDC值的质量,即使在可能实现适度时间节省的情况下也能提供有价值的辅助信息。

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