QSAR Studies on the COX-2 Inhibition by 3,4-Diarylcycloxazolones Based on MEDV Descriptor

Selective inhibition of cyclooxygenase-2 (COX-2) might avoid the side effects of current available nonsteroidal antiinflammatory drugs while retaining their therapeutic efficacy. A novel variable selection and modeling method based on prediction is developed to construct the quantitative structure-activity relationships (QSAR) between the molecular electronegativity distance vector (MEDV) based on 13 atomic types and the biological activities of a set of selective cyclooxygenase-2 inhibitory molecules, 3,4-diarylcycloxazolones (DAA) plus indomethacin,naproxen, and celecoxib. Using multiple linear regression, a 5-variable linear model is developed with the calibrated correlation coefficient of 0.9271 and root mean square error of 0.17 in modeling stage and the validated correlation coefficient of 0.9030 and root mean square error of 0.20 in leave-one-out validation step, respectively. To further test the predictive ability of the model, 20 DAA compounds are picked up to construct a training set which is used to build a QSAR model and then the model is employed to predict the biological activities of the balance compounds. The predicted correlation coefficient and root mean square error are 0.9332 and 0.19, respectively.     

分子全息QSAR预测环境污染物的雌激素活性

某些天然和人工合成有机化学物质能够干扰人类和野生动物内分泌系统的正常功能(一般称为“内分泌干扰物质”, EDCs), 从而对人类和野生动物种群的生存和持续繁衍造成严重威胁. 鉴于人工合成化学品种类繁多、结构复杂, 发展基于结构的快速筛选方法, 对环境中污染物进行筛选和评价, 具有重要的实际意义. 应用一种新的分子结构表征方法——分子全息, 利用多变量统计方法——偏最小二乘分析(PLS), 以105种典型的环境雌激素类化合物为研究对象, 发展了完全基于分子结构的定量预测模型, 可以对环境中有机污染物的雌激素活性进行比较准确的预测和快速筛选.     

催化加氢法脱除水中硝酸盐的研究进展

近年来,地下水中硝酸盐污染日益严重。催化加氢还原硝酸盐生成氮气具有高效、无二次污染等特点,是一种应用前景良好的脱氮技术。本文结合国内外最新的研究进展,对硝酸盐和亚硝酸盐的催化加氢脱氮进行了综述,并对该领域的研究进行了展望。     

硝基芳烃致突变性的二维/三维QSAR比较研究

硝基芳烃是一类来源复杂、种类繁多、应用广泛的有毒有机化学品, 具有很强的毒性. 大部分硝基芳烃具有潜在的致癌性, 因此对其致突变性的评价与预测一直受到广泛的关注. 文中分别应用基于分子轨道参数的传统结构-活性关系方法(QSAR)和比较分子场分析方法(CoMFA)研究了219种硝基芳烃的致突变性与分子结构之间的关系, 从机理解释和预测能力等方面对两种方法进行了比较, 在此基础上建立了具有显著预测能力的定量模型.