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基于VolSurf参数的化合物水溶性QSPR分析 被引量：1

QSPR analysis of water solubility based on VolSurf parameters.
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摘要 利用分子的VolSurf参数预测化合物的水溶解度并阐明有利于水溶解度的主要分子结构特征.被测化合物包括185个共两大系列分子,使用偏最小二乘判别分析和多元线性回归方法在实验数据和分子特征之间建立相关性,均得到较好的结果.以70个化合物所建立的训练集模型对其余115个化合物有较好的预测能力.参数分析表明分子内较大的亲水区域对水溶解度有利;分子质心与疏水区、亲水区之间的不平衡性越高,水溶解度越大;分子量及体积大的分子对其水溶解度不利. Water solubility of compounds was predicted and favorable molecular properties were determined with molecular VolSurf parameters. The tested molecules include two series among 185 compounds. Partial least squares (PLS) discriminant analysis and multiple linear regression (MLR) were used to correlate the experimental data with molecular properties and good results were obtained. The model from training set of 70 compounds had a good predictivity for the other 115 compounds. Descriptor analysis demonstrated that strong hydrophilic regions in the molecule were favorable to the solubility in water. High imbalance between the center of mass of a molecule and the barycentre of its hydrophilic and hydrophobic regions is beneficial to water solubility. High molecular weight and large volume are detrimental to solubility.
作者 胡桂香 俞庆森
机构地区 浙江大学宁波理工学院分子设计与营养工程市重点实验室
出处 《浙江大学学报（理学版）》 CAS CSCD 2004年第6期661-666,共6页 Journal of Zhejiang University（Science Edition）
基金 宁波市博士基金资助项目(2004A610018).
关键词 溶解度 VOLSURF 偏最小二乘分析(PLS) 多元线性回归(MLR) QSPR solubility VolSurf partial least squares (PLS) multiple linear regression(MLR) QSPR
分类号 O641 [理学—物理化学]
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参考文献10

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共引文献10

同被引文献23

  • 1胡桂香,邹建卫,曾敏,张兵,金海晓,俞庆森.化合物膜水分配系数的QSPR研究和分子三维参数表征[J].浙江大学学报（理学版）,2005,32(5):558-561. 被引量：3
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  • 5LAPINSH M, PRUSIS P. QSAR and proteo-chemometric analysis of the interaction of a series of organic compound with melanocortin receptor, subtypes[J]. J Med Chem, 2003, 46:2572-2579.
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浙江大学学报（理学版）
2004年 第6期

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