波谱学杂志 ›› 2005, Vol. 22 ›› Issue (4): 383-389.

• 研究论文 • 上一篇    下一篇

二氢黄酮类化合物的核磁共振碳谱模拟研究

  

  1. 1.重庆大学 化学化工学院药学系,  重庆 400044;  2.教育部与重庆市生物医学工程重点实验室,  重庆 400044
  • 收稿日期:2005-05-08 修回日期:2005-07-25 出版日期:2005-12-05 发布日期:2005-12-05
  • 基金资助:

    重庆市应用基础项目(01-3-6)、国家春晖计划教育部启动基金(99-1-3/8)、霍英东基金(98-8-7)及重庆大学自主创新基金 (04-10-10)资助项目.

Calculation of 13C Chemical Shifts of Dihydroflavone Using a Model Based on Atomic Electronegativity Interaction Vector

  1. 1.College of Chemistry and Chemical Engineering, Department of Pharmacy, Chongqing 400044, China;
    2.Key Laboratory of Biomedical Engineering of Educational Ministry and Chongqing Municipality, Division for Biomedical Engineering and Chemical Biology, Chongqing University, Chongqing 400044, China
  • Received:2005-05-08 Revised:2005-07-25 Online:2005-12-05 Published:2005-12-05
  • Supported by:

    重庆市应用基础项目(01-3-6)、国家春晖计划教育部启动基金(99-1-3/8)、霍英东基金(98-8-7)及重庆大学自主创新基金 (04-10-10)资助项目.

摘要:

采用表征分子内部化学微环境的结构描述子原子电负性作用矢量(Atomic Electronegativity Interaction Vector, AEIV)对255个共振碳原子进行了结构表征,应用多元线性回归技术建立了结构描述子AEIV与这些碳原子的13C NMR化学位移的定量相关模型. 该定量结构谱图关系(定量构谱关系/QSSR)模型的复相关系数达到RMM=0.915,标准偏差为SDMM=14.879. 采用留一法交互检验的结果为RCV=0.909,SDCV=15.324. 结果表明,模型具有良好的估计力和稳定性.

关键词: 13C NMR波谱模拟, 原子电负性作用矢量(AEIV), 二氢黄酮类化合物

Abstract:

In this study, atomic electro-negativity interaction vector (AEIV) and atomic state index (ASI) were formulated to describe the chemical environment and atomic state of 255 carbon atoms. Using the multiple linear regression (MLR) technique, a quantitative model was established to define the relationship between the 13C NMR chemical shifts and the AEIV/ASI of these atoms. The correlation coefficients (R) and standard deviation (SD) of molecular modeling (MM) were RMM=0.915 and SDMM=14.879 ppm, respectively. Leave-one-out (LOO) cross-validation (CV) technique was applied to validate the prediction capability of the model using an external test set, and the RCV and SDCV values were found to be 0.909 and 15.324 ppm, respectively. The results indicate that the model established has favorable predictive capability and satisfactory stability in estimation.

Key words: 13C NMR, atomic electro-negativity interaction vector, atomic state index, dihydroflavone, chemical shift

中图分类号: