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采用密度泛函理论(DFT)计算方案对天然产物的 H 和 C NMR 化学位移进行计算,以士的宁为例。

DFT computational schemes for H and C NMR chemical shifts of natural products, exemplified by strychnine.

机构信息

A. E. Favorsky Irkutsk Institute of Chemistry, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia.

出版信息

Magn Reson Chem. 2020 Jan;58(1):56-64. doi: 10.1002/mrc.4922. Epub 2019 Jul 31.

DOI:10.1002/mrc.4922
PMID:31291478
Abstract

A number of computational schemes based on different Density Functional Theory (DFT) functionals in combination with a number of basis sets were tested in the calculation of H and C NMR chemical shifts of strychnine, as a typical representative of the vitally important natural products, and used as a challenging benchmark and a rigorous test for such calculations. It was found that the most accurate computational scheme, as compared with experiment, was PBE0/pcSseg-4//pcseg-3 characterized by a mean absolute error of 0.07 ppm for the range of about 7 ppm for H NMR chemical shifts and that of only 1.13 ppm for C NMR chemical shifts spread over the range of about 150 ppm. For more practical purposes, including investigation of larger molecules from this series, a much more economical computational scheme, PBE0/pcSseg-2//pcseg-2, characterized by almost the same accuracy and much less computational demand, was recommended.

摘要

研究了多种基于不同密度泛函理论(DFT)泛函和多种基组的计算方案,用于计算士的宁的 1 H 和 13 C NMR 化学位移,士的宁是生命中重要的天然产物的典型代表,可用作此类计算的挑战性基准和严格测试。结果发现,与实验相比,最准确的计算方案是 PBE0/pcSseg-4//pcseg-3,其 1 H NMR 化学位移范围在约 7 ppm 内的平均绝对误差为 0.07 ppm,13 C NMR 化学位移范围在约 150 ppm 内的平均绝对误差仅为 1.13 ppm。为了更实际的目的,包括对该系列中更大分子的研究,推荐了一种更经济的计算方案 PBE0/pcSseg-2//pcseg-2,其准确性几乎相同,但计算需求大大降低。

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