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Studies on Quantitative Structure-Toxicity Relationship of Alcohols, Phenols, Ethers, Ketones and Esters

机译:醇,酚,醚,酮和酯的定量构效关系研究

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摘要

In order to find out the quantitative relationship between toxicity and structures of alcohols, phenols, ethers, ketones, esters, some structures of compounds were characterized by the values of molecular vertexes and their interaction. Two models of the quantitative su'ucture-toxicity relationship (QSTR) were established by the methods multiple linear regression (MLR) and stepwise regression (SMR). A comparison of two models indicated that the model 2 (M2) showed better simulation results and the multiple correlation coefficient (R) was 0.952 and the value of standard deviation (SD) was 0.325. Jacknife method used for testing its stability indicated that the regression model 2 had an acceptable stability and a good predictive ability. In addition, the model was tested by the cross-validation with the leave-one-out (LOO) procedure. And the multiple correlation coefficient in cross-validation (RCV) was 0.927 and the value of standard deviation (SDCV) was 0.396, which showed the stability and predictive ability of the model were desirable.
机译:为了找出毒性与醇,酚,醚,酮,酯的结构之间的定量关系,通过分子顶点的值及其相互作用来表征化合物的某些结构。通过多元线性回归(MLR)和逐步回归(SMR)方法建立了定量的组织毒性关系(QSTR)模型。两种模型的比较表明,模型2(M2)表现出更好的仿真结果,多重相关系数(R)为0.952,标准偏差(SD)值为0.325。用于检验其稳定性的Jacknife方法表明,回归模型2具有可接受的稳定性和良好的预测能力。此外,通过留一法(LOO)程序的交叉验证对模型进行了测试。交叉验证的多重相关系数(RCV)为0.927,标准偏差(SDCV)的值为0.396,表明该模型的稳定性和预测能力是理想的。

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