• Further study of QSPR in the field of safety science is also proposed.

    展望QSPR安全研究领域应用前景。

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  • Linear solvation energy technique was used to develop quantitative structure-property relationships (QSPR) model.

    应用线性溶剂化方法构建定量结构-性质相关(QSPR)模型

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  • The definition and approach of research on quantitative structure-pharmacokinetic relationship (QSPR) were outlined.

    概述定量构动关系研究内容方法

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  • Cross validation and prediction results show that this QSPR model is of good stability and powerful prediction ability.

    交叉验证预测结果表明,所建立的QSPR模型具有良好稳定性和预测能力

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  • All the correlation coefficients are larger than 0. 99. The results show that the topological index is a useful index in QSPR studies.

    它们相关系数大于0.99,表明指数有望QSPR研究中作为一个新的参数而获得推广应用。

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  • A quantitative structure-property relationship (QSPR) model based on artificial neural networks was established to predict the flash points of fatty alcohols.

    建立一个基于人工神经网络方法定量结构-性质相关性(QSPR)研究模型用于预测脂肪醉闪点。

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  • These results demonstrate that the quantitative structure-property relationship(QSPR) models have a high correlativity, fine stability and precise predictability.

    结果表明,所建定量结构性质相关(QSPR模型的相关性、稳健性好、预测能力强。

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  • OBJECTIVE To study and demonstrate the application of neural network to research the quantitative structure-pharmacokinetic relationship(QSPR)of 61 kinds of antimicrobial agents.

    目的应用人工神经网络方法对6 1抗生素进行药物分子结构药物血浆蛋白结合率定量结构-药物动力学关系研究QSPR)。

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  • Study on quantitative structure-property relationship (QSPR) of organics would be helpful in researching for equeous solubility (pS) and octanal-water partition coefficients (logKsw) of organics.

    基于定量结构-性质关系QSPR研究有机物性质具有重要意义。

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  • Study on quantitative structure-property relationship (QSPR) of organics would be helpful in researching for equeous solubility (pS) and octanal-water partition coefficients (logKsw) of organics.

    基于定量结构-性质关系QSPR研究有机物性质具有重要意义。

    youdao

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