| 药物分子设计中定量结构-活性关系计算方法的研究 |
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| 引用本文： | 王青艳,谢能中,许晓东.药物分子设计中定量结构-活性关系计算方法的研究[J].广西科学,2014,21(1):6-11. |
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| 作者姓名： | 王青艳 谢能中 许晓东 |
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| 作者单位： | 广西科学院;非粮生物质酶解国家重点实验室;国家非粮生物质能源工程技术研究中心;广西生物质产业化工程院;广西生物炼制重点实验室; |
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| 基金项目： | 国家自然科学基金项目(项目代号:31370716和31360207)资助 |
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| 摘 要： | 【目的】发展一种新的定量结构-活性关系(简称"构效关系"QSAR)计算方法。【方法】双层QSAR预测模型的第1层是分子的理化性质参数,第2层是分子片段结构参数。两组权重系数{ak}和{bl}分别指派给理化参数和片段参数。在双层QSAR预测模型中引入迭代的双最小二乘(IDLS)计算方法,把单层次的构效关系发展成二层次、双方向的预测网络;在训练集中两组系数用最小二乘法(或偏最小二乘法、主成分分析等)交替求解,直至收敛。【结论】二层次、双方向的QSAR预测模型不仅能够提高预测能力,具有一定的信息反馈和学习功能,而且赋予QSAR更多的信息分析能力。
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| 关 键 词： | 药物设计 构效关系 分子片段 理化性质 |
| 收稿时间： | 2013/9/4 0:00:00 |
| 修稿时间： | 2013/10/11 0:00:00 |
Study of Mathematical Method in the Quantitative Structure-activity Relationship for Drug Design |
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| WANG Qing-yan,XIE Neng-zhong and XU Xiao-dong.Study of Mathematical Method in the Quantitative Structure-activity Relationship for Drug Design[J].Guangxi Sciences,2014,21(1):6-11. |
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| Authors: | WANG Qing-yan XIE Neng-zhong and XU Xiao-dong |
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| Affiliation: | Guangxi Academy of Sciences, State Key Laboratory of Non-Food Biomass and Enzyme Technology, National Engineering Research Center for Non-food Biorefinery, Guangxi Biomass Industrialization Engineering Institute, Guangxi Key Laboratory of Biorefinery, Nanning, Guangxi, 530007, China,Guangxi Academy of Sciences, State Key Laboratory of Non-Food Biomass and Enzyme Technology, National Engineering Research Center for Non-food Biorefinery, Guangxi Biomass Industrialization Engineering Institute, Guangxi Key Laboratory of Biorefinery, Nanning, Guangxi, 530007, China and Guangxi Academy of Sciences, State Key Laboratory of Non-Food Biomass and Enzyme Technology, National Engineering Research Center for Non-food Biorefinery, Guangxi Biomass Industrialization Engineering Institute, Guangxi Key Laboratory of Biorefinery, Nanning, Guangxi, 530007, China |
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| Abstract: | Objective] Quantitative structure-activity relationship (QSAR) is a widely used approach in chemistry, biology, and environment science.In recent years the iterative double least square (IDLS) method was applied in the QSAR by authors.Method] The simple and single direction prediction method was reformed to a two-level and double direction prediction net work.In the two-level QSAR model one level is physicochemical parameters {ak}, and the other is the molecular fragments {bl}.In a training set the two coefficient sets are solved by using least square (or partial least square and principal component analysis) iteratively.Conclusion] The two-level and two-direction QSAR method not only enhances the prediction power, but also endows more information analysis ability to QSAR. |
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| Keywords: | drug design QSAR molecular fragments physicochemical properties |
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