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A Molecular Model of Biological Activity for Quinolone Compounds

机译:喹诺酮类化合物生物活性的分子模型

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摘要

Beginning with the research of the molecular structure of quinolone compounds, some new molecular topological indices and an ion-inhibition chromatography (IIC) for hydrophobic constants are proposed. The quantitative relationship between the molecular structures and the biological activities as well as hydrophobic constants for quinolone compounds are established. The introduction of artificial neural network into molecular structure has successfully predicted the biological activities of the new generation quinolone compounds such as Tosulfloxacin etc.
机译:从研究喹诺酮类化合物的分子结构开始,提出了一些新的分子拓扑指数和疏水常数的离子抑制色谱法(IIC)。建立了喹诺酮类化合物的分子结构与生物学活性以及疏水常数之间的定量关系。将人工神经网络引入分子结构已成功预测了新一代喹诺酮类化合物(如托沙沙星等)的生物活性。

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