大黄素与DNA相互作用方式的研究

通过分子荧光分析、紫外可见吸收光谱及粘度分析以及与溴化乙锭的竞争性实验对大黄素与DNA之问的作用模式进行了考察.在pH 7.4,低离子强度(30 mmol/L NaCl)及恒温37℃条件下反应35 min,大黄素的荧光强度随DNA加入浓度的增加而递减,紫外可见吸收光谱在380、475 nm处出现等吸收点并红移5nm,表...     

Structural Characterization of Volatile Components of Rosa Banksiae Ait for Estimation and Prediction of Their Linear Retention Indices and Retention Times

The molecular electronegativity-distance vector （MEDV） was used to describe the molecular structure of volatile components of Rosa banksiae Ait, and QSRR model was built up by use of multiple linear regression （MLR）. Furthermore, in virtue of variable screening by the stepwise multiple regression technique, the QSRR models of 10 and 6 variables and linear retention index （LRI） 10, 7 and 6 varieables were built up by combinating MEDV with the Ultra2 column GC retention time （tR） of 53 volatile components of Rosa Banksiae Air. The multiple correlation coefficients （R） of modeling calculation values of QSRR model were 0.906, 0.906, 0.949, 0.943 and 0.949, respectively. The cross-verification multiple correlation coefficients （RCV） were 0.903, 0.904, 0.867, 0.901 and 0.904, respectively. The results show that the models constructed could provide estimation stability and favorable predictive ability.     

新型高分子蓝色荧光材料的制备及性能

以吡唑啉为发光功能基团,设计并合成了4种新的聚酰胺类高分子化合物,采用核磁共振氢谱(H 1NMR)和凝胶色谱(GPC)对其结构进行了确证。进而测定了高分子化合物的液体及固体荧光激发、发射光谱,高分子J1,J2和J3具有良好的液体及固体荧光发光能力。所制备的高分子材料具有良好的成膜能力、成本低廉、热稳定性好,有望在电致发光器件中广泛应用。     

含氟取代苯类化合物定量结构与毒性关系研究

本文采用了按氢分类的分子电距矢量(H-MEDV)对19个含氟取代苯类化合物进行了结构表征。采用多元线性回归(MLR)方法建立了含氟取代苯类化合物的定量结构-毒性关系(QSAR)的5变量模型;上述模型对19个含氟取代苯类化合物毒性预测与实验值较好的吻合,其复相关系数(R)为0.918,标准偏差(SD)为0.382,结果表明所建模型具有较好的稳定性和预测能力。     

QSRR Study on the Components of Styrax Japonicus Sieb Flowers Using Improved Molecular Electronegativity-distance Vector （I-MEDV）

Atoms in most organic molecules are often carbon,oxygen,nitrogen,sulfur,halogens,etc. Based on the three-dimensional structure of a molecule,a molecular structural characterization(MSC) method called improved molecular electronegativity-distance vector(I-MEDV) was developed. It was used to describe the structures of 37 compounds of styrax japonicus sieb flowers. Through multiple linear regression(MLR),a QSRR model was built up. The correlation coefficient(R1) of the model was 0.980. Then,4 vectors were selected to build another model through the method of stepwise multiple regression(SMR) ,and the correlation coefficient(R2) of the model was 0.975. Moreover,all the two models were evaluated by performing the crossvalidation with the leave-one-out(LOO) procedure and the correlation coefficients(Rcv) were 0.948 and 0.968,respectively. The results show that the I-MEDV could successfully describe the structures of organic compounds. The stability and predictability of the models were good.     

Structural Characterization and Toxicity Prediction of Some Organic Compounds

A new molecular structural characterization(MSC)method called molecular vertexes correlative index(MVCI)was constructed in this paper.The index was used to describe the structures of 45 compounds and a quantitative structure-activity relationship(QSAR)model of toxicity(–lgEC50)was obtained through multiple linear regression(MLR)and stepwise multiple regression(SMR).The correlation coefficient(R)of the model was 0.912,and the standard deviation(SD)of the model was 0.525.The estimation stability and prediction ability of the model were strictly analyzed by both internal and external validations.The Leave-One-Out(LOO)Cross-Validation(CV)correlation coefficient(RCV)was 0.816 and the standard deviation(SDCV)was 0.739,respectively.For the external validation,the correlation coefficient(Rtest)was 0.905 and the standard deviation(SDtest)was 0.520,respectively.The results showed that the index was superior in molecular structural representation.The stability and predictability of the model were good.     

一种新型手性分子电性矩边矢量(Vmedc)的设计及其应用

根据分子中不同类型原子间电相互作用的不同, 文中提出了一种手性分子电矩边矢量(Vmedc), 进一步拓展分子电矩边性矢量(Vmed)使用范围. 为检测该手性描述矢量的结构表达特性和模型预测能力, 分别对32个培哚普利拉类血管紧张素转化酶(ACE)抑制剂的对映结构体和7对苯基哌啶类σ-受体抑制剂进行考察. 32个ACE抑制剂多元逐步回归系数R＝0.913 (R2＝0.834, SD＝0.768, F＝33.875), 留一法交互检验为Rcv＝0.877 (Rcv2＝0.769, SDcv＝0.906, Fcv＝22.473), 具有较强预测能力; 继而用BP神经网络, 对60组随机样本(23∶9)进行留分法分析取得较好结果, 训练集平均为: RTraining＝0.931 (RTraining2＝0.967), 预测集为: Rcv＝0.918 (Rcv2＝0.842); 而对14个σ-受体抑制剂多元回归(R＝0.955, Rcv2＝0.849)获得与文献一致结果. 再用Fisher线性判别方法和BP神经网络对ACE抑制剂进行判别分析, 其活性分类88.89%正确(仅9号错误), 非活性分类100.0%正确, 总分类正确率为96.87%. 两个数据集测试证明该方法与其它文献方法相当, 这为定量构效关系(QSAR)研究提供一种新选择, 扩充了Vmed描述矢量应用范围.     

应用分子电距矢量对地笋中挥发油化学成分色谱保留值分析

采用分子电性距离矢量(MEDV)表征地笋中挥发油化学成分的分子结构,并对其气相色谱保留时间进行了系统的定量结构-色谱保留关系(QSRR)研究。在变量筛选的基础上建立了多个挥发油化学成分QSRR模型,相关系数均在0.90以上。通过严格的统计检验表明所建模型具有良好的稳定性与预测能力。     

三维全息原子场作用矢量(3D-HoVAIF)用于神经氨酸酶抑制剂的结构表征与设计及定量构效关系(QSAR)研究

对100个神经氨酸酶抑制剂抗禽流感药物结构并与其活性建立定量构效关系模型。采用本实验室提出的三维全息原子场作用矢量(3D-HoVAIF)对100个神经氨酸酶抑制剂进行结构表征,然后采用逐步回归对变量进行筛选后,运用偏最小二乘建立3D-HoVAIF描述子与神经氨酸酶抑制剂活性之间的QSAR模型。结果表明:复相关系数(R),交互校验的复相关系数(Q2)和模型的标准偏差(SD)分别为R2=0.805、Q2=0.657和SD=0.936,模型具有良好的稳定性和预测能力,并对文献中23个药物和设计的32个化合物进行了预测。表明三维全息原子场作用矢量能较好表征该类分子结构信息值得进一步推广应用。