A quantitative structure-spectrum relationship (QSSR) model was developed to simulate 13C nuclear magnetic resonance (NMR) spectra of carbinol carbon atoms for 55 alcohols. The proposed model,using multiple linear reg...A quantitative structure-spectrum relationship (QSSR) model was developed to simulate 13C nuclear magnetic resonance (NMR) spectra of carbinol carbon atoms for 55 alcohols. The proposed model,using multiple linear regression,contained four descriptors solely extracted from the molecular structure of compounds. The statistical results of the final model show that R2= 0.982 4 and S=0.869 8 (where R is the correlation coefficient and S is the standard deviation). To test its predictive ability,the model was further used to predict the 13C NMR spectra of the carbinol carbon atoms of other nine compounds which were not included in the developed model. The average relative errors are 0.94% and 1.70%,respectively,for the training set and the predictive set. The model is statistically significant and shows good stability for data variation as tested by the leave-one-out (LOO) cross-validation. The comparison with other approaches also reveals good performance of this method.展开更多
用原子电性距离矢量(atom ic electronegativity d istance vector,AEDV)和原子杂化状态指数(atom ic hybrid i-zation state index,AHSI)对13个雄甾烯酮化合物中247个碳原子进行了结构表征,并与其核磁共振碳谱(13CNMR)建立了多元线性...用原子电性距离矢量(atom ic electronegativity d istance vector,AEDV)和原子杂化状态指数(atom ic hybrid i-zation state index,AHSI)对13个雄甾烯酮化合物中247个碳原子进行了结构表征,并与其核磁共振碳谱(13CNMR)建立了多元线性定量构谱相关(QSSR)模型;运用逐步回归结合统计检测,对模型变量进行了筛选,建模计算值、留一法(leave-one-out,LOO)交互校验(cross-validation,CV)预测值和留分法(leave-molecu le-out,LMO)交互校验预测值的复相关系数(R)分别为0.989 6,0.989 1和0.989 4。结果表明:AEDV,AHSI与13CNMR谱化学位移显著相关。展开更多
基金Projects(20775010, 21075011) supported by the National Natural Science Foundation of ChinaProject(2008AA05Z405) supported by the National High-tech Research and Development Program of China+2 种基金Project(09JJ3016) supported by the Natural Science Foundation of Hunan Province, ChinaProject(09C066) supported by the Scientific Research Fund of Hunan Provincial Education Department, ChinaProject(2010CL01) supported by the Foundation of Hunan Provincial Key Laboratory of Materials Protection for Electric Power and Transportation, China
文摘A quantitative structure-spectrum relationship (QSSR) model was developed to simulate 13C nuclear magnetic resonance (NMR) spectra of carbinol carbon atoms for 55 alcohols. The proposed model,using multiple linear regression,contained four descriptors solely extracted from the molecular structure of compounds. The statistical results of the final model show that R2= 0.982 4 and S=0.869 8 (where R is the correlation coefficient and S is the standard deviation). To test its predictive ability,the model was further used to predict the 13C NMR spectra of the carbinol carbon atoms of other nine compounds which were not included in the developed model. The average relative errors are 0.94% and 1.70%,respectively,for the training set and the predictive set. The model is statistically significant and shows good stability for data variation as tested by the leave-one-out (LOO) cross-validation. The comparison with other approaches also reveals good performance of this method.
文摘用原子电性距离矢量(atom ic electronegativity d istance vector,AEDV)和原子杂化状态指数(atom ic hybrid i-zation state index,AHSI)对13个雄甾烯酮化合物中247个碳原子进行了结构表征,并与其核磁共振碳谱(13CNMR)建立了多元线性定量构谱相关(QSSR)模型;运用逐步回归结合统计检测,对模型变量进行了筛选,建模计算值、留一法(leave-one-out,LOO)交互校验(cross-validation,CV)预测值和留分法(leave-molecu le-out,LMO)交互校验预测值的复相关系数(R)分别为0.989 6,0.989 1和0.989 4。结果表明:AEDV,AHSI与13CNMR谱化学位移显著相关。
