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A refined model for prediction of hydrogen bond acidity and basicity parameters from quantum chemical molecular descriptors

机译:用于从量子化学分子描述符预测氢键酸度和碱度参数的改进模型

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Abraham's H-bonding parameters α_2~H and β_2~H have been described in terms of a minimal set of readily obtainable molecular descriptors. These parameters are basically equilibrium constants for complexation of acids with a reference base (α_2~H) or bases with a reference acid (β_2~H) measured in a non-hydrogen bonding solvent such as tetrachloromethane. The models were developed using partial least squares with a diverse dataset recently compiled by Platts et al., encompassing a wide range of hydrogen bond acids and bases in order to give a robust model. Although less accurate than the model of Platts et al. the descriptors used in this work avoid expensive supermolecule calculations, and allow prediction of hydrogen bonding characteristics from the isolated molecular wave function. These descriptors can then be generated for a large number of compounds, making them ideal for storage in a quantum isostere database (QID), the construction of which we initiated. The QID is a web-based tool developed to predict bioisosteric replacements in lead optimisation projects. The current descriptors provide hydrogen bonding characteristics of molecules of interest.
机译:亚伯拉罕的H键参数α_2〜H和β_2〜H是根据一组极易获得的分子描述子描述的。这些参数基本上是在非氢键合溶剂(例如四氯甲烷)中测得的酸与参考碱(α_2〜H)或碱与参考酸(β_2〜H)络合的平衡常数。该模型是使用偏最小二乘法开发的,具有由Platts等人最近编辑的多样化数据集,其中涵盖了广泛的氢键酸和碱,以便提供可靠的模型。尽管准确性不如Platts等人的模型。在这项工作中使用的描述符避免了昂贵的超分子计算,并允许从孤立的分子波函数预测氢键特征。然后可以为大量化合物生成这些描述符,从而使其非常适合存储在我们开始构建的量子等排数据库(QID)中。 QID是一种基于网络的工具,旨在预测潜在客户优化项目中的生物等排代替代物。当前的描述符提供了感兴趣分子的氢键特征。

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