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准确测定 13C 标记碳水化合物中的一键 13C-13C 偶合。

Accurate determinations of one-bond 13C-13C couplings in 13C-labeled carbohydrates.

机构信息

Laboratory of Bacterial Polysaccharides, Structural Biology Section, Center for Biologics Evaluation and Research, FDA, 1401 Rockville Pike, Rockville, MD 20852-1448, United States.

出版信息

J Magn Reson. 2013 Mar;228:130-5. doi: 10.1016/j.jmr.2013.01.001. Epub 2013 Jan 11.

Abstract

Carbon plays a central role in the molecular architecture of carbohydrates, yet the availability of accurate methods for (1)D(CC) determination has not been sufficiently explored, despite the importance that such data could play in structural studies of oligo- and polysaccharides. Existing methods require fitting intensity ratios of cross- to diagonal-peaks as a function of the constant-time (CT) in CT-COSY experiments, while other methods utilize measurement of peak separation. The former strategies suffer from complications due to peak overlap, primarily in regions close to the diagonal, while the latter strategies are negatively impacted by the common occurrence of strong coupling in sugars, which requires a reliable assessment of their influence in the context of RDC determination. We detail a (13)C-(13)C CT-COSY method that combines a variation in the CT processed with diagonal filtering to yield (1)J(CC) and RDCs. The strategy, which relies solely on cross-peak intensity modulation, is inspired in the cross-peak nulling method used for J(HH) determinations, but adapted and extended to applications where, like in sugars, large one-bond (13)C-(13)C couplings coexist with relatively small long-range couplings. Because diagonal peaks are not utilized, overlap problems are greatly alleviated. Thus, one-bond couplings can be determined from different cross-peaks as either active or passive coupling. This results in increased accuracy when more than one determination is available, and in more opportunities to measure a specific coupling in the presence of severe overlap. In addition, we evaluate the influence of strong couplings on the determination of RDCs by computer simulations. We show that individual scalar couplings are notably affected by the presence of strong couplings but, at least for the simple cases studied, the obtained RDC values for use in structural calculations were not, because the errors introduced by strong couplings for the isotropic and oriented phases are very similar and therefore cancel when calculating the difference to determine (1)D(CC) values.

摘要

碳在碳水化合物的分子结构中起着核心作用,然而,尽管这些数据在寡糖和多糖的结构研究中可能具有重要意义,但对于(1)D(CC)确定的准确方法的可用性尚未得到充分探索。现有的方法需要根据 CT-COSY 实验中的恒时(CT)拟合交叉峰与对角峰的强度比,而其他方法则利用峰间距的测量。前一种策略由于靠近对角线区域的峰重叠而导致复杂,而后一种策略由于糖中普遍存在强耦合而受到负面影响,这需要在 RDC 确定的背景下可靠地评估其影响。我们详细介绍了一种(13)C-(13)C CT-COSY 方法,该方法结合了 CT 处理的变化和对角滤波,以产生(1)J(CC)和 RDCs。该策略仅依赖于交叉峰强度调制,灵感来自于用于 J(HH)测定的交叉峰消零方法,但经过适应和扩展,可应用于类似于糖的情况,其中大的单键(13)C-(13)C 耦合与相对较小的远程耦合共存。由于不使用对角峰,重叠问题得到了极大缓解。因此,可以从不同的交叉峰中将单键耦合确定为主动或被动耦合。这在有多个可用测定值时提高了准确性,并在存在严重重叠时为测量特定耦合提供了更多机会。此外,我们通过计算机模拟评估了强耦合对 RDC 确定的影响。我们表明,单个标量耦合明显受到强耦合的影响,但至少对于研究的简单情况,用于结构计算的获得的 RDC 值不受影响,因为强耦合在各向同性和取向相引起的误差非常相似,因此在计算差异以确定(1)D(CC)值时会相互抵消。

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