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淡水贻贝椭圆丽蚌中多氯联苯净化速率常数的定量构效关系

Quantitative structure-activity relationship for the depuration rate constants of polychlorinated biphenyls in the freshwater mussel, Elliptio complanata.

作者信息

Xu Mingzhu, Liu Xinhui, Wang Liang, Wu Dan, Yang Zhifeng, Cui Baoshan

机构信息

State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, P.R. China.

出版信息

J Environ Sci Health B. 2009 Mar;44(3):278-83. doi: 10.1080/03601230902728385.

Abstract

Partial least squares (PLS) regression together with 16 theoretical molecular structural descriptors was successfully used to develop a quantitative structure-activity relationship (QSAR) model on the depuration rate constants (k(d)) of polychlorinated biphenyls (PCBs) in freshwater mussel Elliptio complanata. The cross validated Q(2)(cum) and the correlation coefficient R for the model is 0.871 and 0.941, respectively. The achievement of satisfactory Q(2)(cum) and R values indicate significant high robustness and good predictive ability of the model. The model was tested as acceptable for prediction of logk(d) (the log of the depuration rate constants) by validation set. The significant descriptors governing logk(d) include polarizability (alpha), core core repulsion energy (CCR), molecular weight (M(w)), total energy (TE), and electronic energy (EE). The key descriptors in the model reflect that van der Waals interactions play a dominant role in the depuration of PCBs. The depuration of PCBs in Elliptio complanata may be mainly attributed to the biota-water phase partitioning processes.

摘要

偏最小二乘法(PLS)回归结合16个理论分子结构描述符,成功建立了一个关于淡水贻贝椭圆蚌(Elliptio complanata)中多氯联苯(PCBs)净化速率常数(k(d))的定量构效关系(QSAR)模型。该模型的交叉验证Q(2)(cum)和相关系数R分别为0.871和0.941。令人满意的Q(2)(cum)和R值表明该模型具有显著的高稳健性和良好的预测能力。通过验证集测试,该模型被认为可用于预测logk(d)(净化速率常数的对数)。控制logk(d)的显著描述符包括极化率(alpha)、核-核排斥能(CCR)、分子量(M(w))、总能量(TE)和电子能量(EE)。模型中的关键描述符表明,范德华相互作用在多氯联苯的净化过程中起主导作用。椭圆蚌中多氯联苯的净化可能主要归因于生物-水相分配过程。

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