氯代苯酚类衍生物对水生物发光细菌的定量结构—活性关系研究

应用PM3量子化学方法和分子连接性指数拓扑理论,进行了氯代苯酚类化合物对水生物发光细菌的半致死量之间的定量结构-活性相关（QSAR）研究,QSAR模型表明,化合物分子体积效应对毒物靶分子的作用呈一定的相关性,体现在其与^1X^v和分子的平均极化率α呈正相关性,而与分子的最低空轨道ELUMO呈负相关性,所得的最显著的相关模型为-logEC50=-1.82532 0.04678α。     

二茂铁衍生物清除羟自由基的构效关系

采用化学发光法检测并比较了10种二茂铁衍生物清除羟自由基(·OH)活性,用循环伏安法研究了其电化学性质,进而探讨了取代基结构与清除·OH活性间的关系.结果表明,取代基共轭效应、诱导效应和体积都对衍生物清除·OH活性有明显影响.含共轭或吸电子取代基二茂铁衍生物,半波电位(E_(1/2))较高,清除·OH活性较弱;而含给电子取代基的二茂铁衍生物,E_(1/2)较低,清除·OH活性较强.     

三唑类农药对大型蚤急性毒性二维QSAR研究

测定了16个三唑类农药对大型蚤（D．magna）的48h急性运动抑制毒性活性pI50（-lg EC50）,并结合计算得到的各种量子化学参数建立了相应的QSAR模型,为预测具有相似结构化合物的pI50提供理论依据;同时希望通过建立各种预测模型,能够初步了解该类化合物对大型蚤的致毒机制,并从分子结构角度为设计合成高效低毒农药提供科学依据。     

一类新型罗非昔布开环衍生物抗炎构效关系

用PM3半经验量化方法优化了一类新型罗非昔布(RC)开环衍生物与RC的几何构型;对其中11个化合物搜寻和计算了它们的结构参数,采用多元逐步回归分析方法,建立了经典结构活性关系(2D-QSAR);并用SOM-FA2软件分析了全部化合物的3D-QSAR关系。结构优化表明活性RC开环衍生物具有类似RC的立体结构,构效关系研究也表明该类新型RC开环衍生物具有其它环氧合酶选择性抑制剂相似的构效关系。     

基于文化差分进化算法的最小二乘支持向量机及QSAR建模

针对最小二乘支持向量机最佳算法参数难以确定的缺陷,提出了基于文化差分进化算法的最小二乘支持向量机(Cultural Differential evolution Algorithm Least Square Support Vector Machine,CDE-LSSVM)。该算法通过新型的文化差分进化算法优化确定最小二乘支持向量机核宽度参数和惩罚系数,建立具有良好预测性能的模型。同时,针对药物定量构效关系(Quantitative Structure-Activity Relationships,QSAR)模型具有高度非线性、变量之间存在相关性的特征,采用CDE-LSSVM建立HIV-1蛋白酶抑制剂的药物定量构效关系模型。模型具有很好的拟合精度与预测精度,且优于最小二乘支持向量机、BP神经网络和径向基神经网络。     

Inhibition of brain enolases by acrylamide and its related compounds in vitro,and the structure-activity relationship

Summary Acrylamide and its related compounds inhibited brain enolases in vitro independently of their neurotoxicity. The inhibitory potency was a function of the binding constants of the compounds for phenylalanine. The binding constant for tryptophan was higher in neurotoxic compounds than in non-neurotoxic ones.     

Biological activity of precocene analogues onLocusta migratoria

Summary Structure-optimization studies of C-5-C-8-substituted precocene (P) analogues revealed that 1) compounds disubstituted asymmetrically at C-6, C-7 had an anti-allatal effect only if the C-6 side-group was shorter than that at C-7, 2) in the case of C-5, C-7 disubstitution, activity was enhanced by Me at C-5 whereas MeO caused inactivity. Effects of various other substitutions are also discussed.     

Combining docking and comparative molecular similarity indices analysis （COMSIA） to predict estrogen activity and probe molecular mechanisms of estrogen activity for estrogen compounds

Estrogen compounds are suspected of disrupting endocrine functions by mimicking natural hormones, and such compounds may pose a serious threat to the health of humans and wildlife. Close attention has been paid to the prediction and molecular mechanisms of estrogen activity for estrogen com- pounds. In this article, estrogen receptor a subtype （ERa） -based comparative molecular similarity indices analysis （COMSIA） was performed on 44 estrogen compounds with structural diversity to find out the structural relationship with the activity and to predict the activity. The model with the significant correlation and the best predictive power （R^2= 0.965, Q^2 LOO： 0.599, R^2 pred ： 0.825） was achieved. The COMSIA and docking results revealed the structural features for estrogen activity and key amino acid residues in binding pocket, and provided an insight into the interaction between the ligands and these amino acid residues.