Department of Organic Chemistry, Arrhenius Laboratory, Stockholm University, S-106 91 Stockholm, Sweden.
Carbohydr Res. 2011 Aug 16;346(11):1311-9. doi: 10.1016/j.carres.2011.04.033. Epub 2011 May 4.
The computer program casper uses (1)H and (13)C NMR chemical shift data of mono- to trisaccharides for the prediction of chemical shifts of oligo- and polysaccharides. In order to improve the quality of these predictions the (1)H and (13)C, as well as (31)P when applicable, NMR chemical shifts of 30 mono-, di-, and trisaccharides were assigned. The reducing sugars gave two distinct sets of NMR resonances due to the α- and β-anomeric forms. In total 35 (1)H and (13)C NMR chemical shift data sets were obtained from the oligosaccharides. One- and two-dimensional NMR experiments were used for the chemical shift assignments and special techniques were employed in some cases such as 2D (1)H,(13)C-HSQC Hadamard Transform methodology which was acquired approximately 45 times faster than a regular t(1) incremented (1)H,(13)C-HSQC experiment and a 1D (1)H,(1)H-CSSF-TOCSY experiment which was able to distinguish spin-systems in which the target protons were only 3.3Hz apart. The (1)H NMR chemical shifts were subsequently refined using total line-shape analysis with the PERCH NMR software. The acquired NMR data were then utilized in the casper program (http://www.casper.organ.su.se/casper/) for NMR chemical shift predictions of the O-antigen polysaccharides from Klebsiella O5, Shigella flexneri serotype X, and Salmonella arizonae O62. The data were compared to experimental data of the polysaccharides from the two former strains and the lipopolysaccharide of the latter strain showing excellent agreement between predicted and experimental (1)H and (13)C NMR chemical shifts.
计算机程序 casper 使用(1)H 和(13)C NMR 化学位移数据对单糖至三糖进行预测寡糖和多糖的化学位移。为了提高这些预测的质量,对 30 种单糖、二糖和三糖的(1)H 和(13)C 以及(31)P(适用时)的 NMR 化学位移进行了分配。由于α-和β-端基形式,还原糖给出了两组截然不同的 NMR 共振。总共从寡糖中获得了 35 套(1)H 和(13)C NMR 化学位移数据集。一维和二维 NMR 实验用于化学位移分配,在某些情况下采用了特殊技术,例如二维(1)H,(13)C-HSQC Hadamard 变换方法,该方法的采集速度比常规的 t(1)递增(1)H,(13)C-HSQC 实验快约 45 倍,以及一维(1)H,(1)H-CSSF-TOCSY 实验,该实验能够区分目标质子之间仅相隔 3.3Hz 的自旋系统。随后使用 PERCH NMR 软件通过总线形状分析对(1)H NMR 化学位移进行了优化。然后将获得的 NMR 数据用于 casper 程序(http://www.casper.organ.su.se/casper/)中,对 Klebsiella O5、Shigella flexneri 血清型 X 和 Salmonella arizonae O62 的 O-抗原多糖的 NMR 化学位移进行预测。将数据与前两种菌株的多糖以及后一种菌株的脂多糖的实验数据进行了比较,预测和实验(1)H 和(13)C NMR 化学位移之间的吻合度非常好。