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Assigning Stereochemistry to Single Diastereoisomers by GIAO NMR Calculation: The DP4 Probability

机译:通过GIAO NMR计算将立体化学分配给单个非对映异构体:DP4概率

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摘要

GIAO NMR shift calculation has been applied to the challenging task of reliably assigning stereochemistry with quantifiable confidence when only one set of experimental data are available. We have compared several approaches for assigning a probability to each candidate structure and have tested the ability of these methods to distinguish up to 64 possible diastereoisomers of 117 different molecules, using NMR shifts obtained in rapid and computationally inexpensive single-point calculations on molecular mechanics geometries without time-consuming ab initio geometry optimization. We show that a probability analysis based on the errors in each 13C or 1H shift is significantly more successful at making correct assignments with high confidence than are probabilities based on the correlation coefficient and mean absolute error parameters. Our new probability measure, which we have termed DP4, complements the probabilities obtained from our previously developed CP3 parameter, which applies to the case of assigning a pair of diastereoisomers when one has both experimental data sets. We illustrate the application of DP4 to assigning the stereochemistry or structure of 21 natural products that were originally misassigned in the literature or that required extensive synthesis of diastereoisomers to establish their stereochemistry.
机译:当只有一组实验数据可用时,GIAO NMR位移计算已应用于具有可量化置信度的可靠分配立体化学的艰巨任务。我们比较了几种为每种候选结构分配概率的方法,并测试了这些方法使用NMR位移(在分子力学几何结构上进行快速且计算成本低的单点计算)来区分117个不同分子的64种可能的非对映异构体的能力。无需耗时的从头开始几何优化。我们显示,基于每个 13 C或 1 H移位中的错误的概率分析比基于相关性的概率在以高置信度进行正确分配方面明显更成功系数和平均绝对误差参数。我们新的概率度量(我们称为DP4)补充了从我们先前开发的CP3参数获得的概率,该参数适用于当两个非对映异构体都具有两个实验数据集时分配一对非对映异构体的情况。我们举例说明了DP4在分配21种天然产物的立体化学或结构方面的应用,这些产物最初在文献中分配不当,或者需要大量合成非对映异构体以建立其立体化学。

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  • 来源
    《Journal of the American Chemical Society》 |2010年第37期|p.12946-12959|共14页
  • 作者单位

    Unilever Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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