苯并呋喃类N-肉豆蔻酰基转移酶抑制剂的三维定量构效关系研究

摘要采用比较分子力场分析法(CoMFA)和比较分子相似性指数分析法(CoMSIA), 系统地研究了40个苯并呋喃类N-肉豆蔻酰基转移酶(NMT)抑制剂的三维定量构效关系. 在CoMFA研究中, 考察了网格点步长对模型统计结果的影响. 在CoMSIA研究中, 研究了各种分子场组合、 网格点步长和衰减因子对模型统计结果的影响, 发现立体场、 静电场、 疏水场和氢键受体场的组合可得到最佳模型. 所建立的CoMFA和CoMSIA模型的交叉相关系数q2值分别为0.759和0.730, 均具有较强的预测能力. 利用CoMFA和CoMSIA模型的三维等值线图直观地解释了化合物的构效关系, 阐明了化合物结构中苯并呋喃环上各位置取代基对抑酶活性的影响, 为进一步结构优化提供了重要依据.     

带有分子轨道能量的3D-QSAR对N-氨基咪唑的研

N-氨基咪唑(NAIMs)能通过三种不同的作用方式抑制HIV-1的复制. 用比较分子场（CoMFA）方法对一系列有共同骨架的NAIM分子建立3D-QSAR模型. 与以往模型不同的是，在偏最小二乘（PLS）分析中尝试引入分子轨道能量的信息来研究生物活性与分子轨道能量的关系. 结果得到了几个模型，分子轨道能量对模型的贡献能为21.7%，轨道HOMO5对模型的贡献最大.     

3D-QSAR study of hallucinogenic phenylalkylamines by using CoMFA approach

The three-dimensional quantitative structure–activity relationship (3D-QSAR) has been studied on 90 hallucinogenic phenylalkylamines by the comparative molecular field analysis (CoMFA). Two conformations were compared during the modeling. Conformation I referred to the amino group close to ring position 6 and conformation II related to the amino group trans to the phenyl ring. Satisfactory results were obtained by using both conformations. There were still differences between the two models. The model based on conformation I got better statistical results than the one about conformation II. And this may suggest that conformation I be preponderant when the hallucinogenic phenylalkylamines interact with the receptor. To further confirm the predictive capability of the CoMFA model, 18 compounds with conformation I were randomly selected as a test set and the remaining ones as training set. The best CoMFA model based on the training set had a cross-validation coefficient q ² of 0.549 at five components and non cross-validation coefficient R ² of 0.835, the standard error of estimation was 0.219. The model showed good predictive ability in the external test with a coefficient R _pre² of 0.611. The CoMFA coefficient contour maps suggested that both steric and electrostatic interactions play an important role. The contributions from the steric and electrostatic fields were 0.450 and 0.550, respectively.     

两类HPPD酶抑制剂的比较分子场分析研究

用比较分子场分析法（CoMFA）研究了环已二酮类及3-烷基酸-2-环已烯酯类化 合物的结构与活性的关系。本研究从蛋白酶与底物动力学模拟的复合物结构出发构 建两类抑制剂化合物分子的构象，并进行了全空间搜索，CoMFA分析得到了较好的 模型（交叉验证回归系数q~2 = 0.779，模型的线性回归系数r~2 = 0.989）。该方 程不仅可以帮助推测抑制剂与受体的结合方式，还可定量地预测结构相近的类似物 活性，为设计合成新的HPPD酶抑制剂提供了理论依据。     

Comparative molecular field analysis and energy interaction studies of thrombin-inhibitor complexes

A Comparative Molecular Field Analysis (CoMFA) and an interaction energy-based method were applied on a database holding the 3D structures of 29 thrombin-inhibitor complexes. Several parameters were optimized in both methods in order to obtain the best correlation between theoretical and experimentally determined binding (Ki) data. CoMFA, which only uses the information of the inhibitors, performed best (r = 0.99, q2 = 0.46, N = 29) when HF 6-31G charges were used in combination with a pharmacophore-based alignment. Inclusion of hydrophobic fields did not lead to improvements. The interaction energy-based approach uses the information of the whole thrombin-inhibitor complex. A statistically significant correlation (r = 0.74, N = 14) could only be obtained for a subset of the database containing the high resolution structures. Geometry optimization of the ligand only in combination with downscaled electrostatics performed best.     

2D/3D-QSAR comparative study on mutagenicity of nitroaromatics

As the key techniques in predictive toxicology, the goal of quantitative structure-activity relationships (QSARs) is to explore the mechanism of toxic action based on the molecular structures of pollutants and to develop quantitative models for predictive…     

新型苯环5-(取代)苯甲酰胺基苯磺酰脲类化合物的比较定量构效关系研究

采用比较分子力场分析(CoMFA)方法, 对26个新型苯环5-(取代)苯甲酰胺基苯磺酰脲类化合物的除草活性进行了三维定量构效关系(3D-QSAR)研究, 建立了三维定量构效关系CoMFA模型(R²=0.948, F=91.364, SE=0.141). 结果表明, 此类磺酰脲类化合物的除草活性与苯环5位取代基的立体结构和电场性质密切相关. 根据CoMFA模型的立体场和静电场三维等值线图不仅直观地解释了结构与活性的关系, 而且为进一步设计高活性的目标化合物提供理论依据.     

基于Topomer CoMFA方法对芳基硫代吲哚衍生物的分子建模与设计

采用Topomer CoMFA方法对30个芳基硫代吲哚衍生物进行三维定量关系研究,建立了3D-QSAR模型,所得模型的交叉验证相关系数q~2,非交叉验证相关系数r~2,外部验证的复相关系数Q_(ext)~2分别为0.562,0.878,0.985,结果表明该模型具有较好的稳定性和预测能力.Topomer CoMFA模型等势面提供的立体场与静电场可视化图像,直观的揭示了这一系列化合物中不同取代基结构对其生物活性的影响,运用这些信息进行分子设计,在理论上获得了5个具有较高活性的新化合物,该QSAR的实验结果可为合成新药提供理论参考.