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Threshold-based structure-activity relationships of pyrazines with bell-pepper flavor

机译:具有甜椒味的吡嗪基于阈值的构效关系

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Quantitative structure activity relationships (QSAR) and comparative molecular field analysis (CoMFA) are applied in order to explain the aroma of 46 bell-pepper aroma compounds. Biological activities log(1/c) values are used, where c stands for the detection threshold value of the aroma compound in water. Results of conventional QSAR and CoMFA are both satisfactory in statistical significance and predictive ability. We construct a qualitative model using the graphic features of CoMFA together with the results of "classical" QSAR analysis, which is performed by multiple linear regression. Finally, the human olfactory detection threshold values of excluded pyrazines are successfully predicted. This makes CoMFA and QSAR two important tools for designing new aroma compounds and in elucidating the mechanism of odor-receptor interaction. [References: 29]
机译:应用定量结构活性关系(QSAR)和比较分子场分析(CoMFA)来解释46种甜椒香气化合物的香气。使用生物活性log(1 / c)值,其中c代表水中芳香化合物的检测阈值。常规QSAR和CoMFA的结果在统计学意义和预测能力上均令人满意。我们使用CoMFA的图形特征以及“经典” QSAR分析的结果构建了定性模型,该分析通过多元线性回归进行。最后,成功地预测了排除的吡嗪的人类嗅觉检测阈值。这使CoMFA和QSAR成为设计新的香气化合物和阐明气味-受体相互作用机理的两个重要工具。 [参考:29]

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