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DFT/NMR Approach for the Configuration Assignment of Groups of Stereoisomers by the Combination and Comparison of Experimental and Predicted Sets of Data

机译:通过实验和预测数据集的组合和比较,DFT / NMR方法对立体异构体组的配置分配和比较

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Quantum mechanical/nuclear magnetic resonance (NMR) approaches are widely used for the configuration assignment of organic compounds generally comparing one cluster of experimentally determined data (e.g., C-13 NMR chemical shifts) with those predicted for all possible theoretical stereoisomers. More than one set of experimental data, each related to a specific stereoisomer, may occur in some cases, and the accurate stereoassignments can be obtained by combining the experimental and computed data. We introduce here a straightforward methodology based on the simultaneous analysis, combination, and comparison of all sets of experimental/calculated C-13 chemical shifts for aiding the correct configuration assignment of groups of stereoisomers. The comparison of the differences between the calculated/experimental chemical shifts instead of the shifts themselves led to the advantage of avoiding errors arising from calibration procedures, reducing systematic errors, and highlighting the most diagnostic differences between calculated and experimental data. This methodology was applied on a tetrad of synthesized cladosporin stereoisomers (cladologs) and further corroborated on a tetrad of pochonicine stereoisomers, obtaining the correct correspondences between experimental and calculated sets of data. The new MAE(Delta Delta delta) parameter, useful for indicating the best fit between sets of experimental and calculated data, is here introduced for facilitating the stereochemical assignment of groups of stereoisomers.
机译:量子力学/核磁共振(NMR)方法被广泛地用于通常比较那些预测为所有可能的立体异构体的理论实验确定的数据(例如,C-13 NMR化学位移)的一个聚类的有机化合物的结构分配。在某些情况下可能发生与特定立体异构体相关的多个实验数据,并且可以通过组合实验和计算的数据来获得精确的立体分子。我们在这里介绍一种基于同时分析,组合和比较所有实验/计算的C-13化学转移的比较,用于帮助辅助立体异构体组的正确配置分配。计算/实验化学换档代替变速层之间的差异的比较导致了避免校准程序引起的错误,减少系统误差,并突出计算和实验数据之间的最诊断差异的优点。该方法应用于四孢子素立体异构体(钢层孢素素立体异构体(钢层素)并进一步证实,在四核立体异构体上,获得实验和计算的数据组之间的正确对应。这里的新MAE(Delta delta delta)参数有助于指示实验和计算数据集之间的最佳拟合,以促进立体异构体组的立体化学分配。

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