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Parameter-free linear relationship (PFLR) and its application to 3D QSAR

机译:无参数线性关系(PFLR)及其在3D QSAR中的应用

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The linear relationship is still the most important tool for establishing connection between correlating features, properties. The name “parameter-free linear relationship” (PFLR) stands for a new formalism, a generalized interpolation scheme, which can be readily used for predicting biological activities or other properties in 3D QSAR manner. Our studies demonstrate the good predictive power of PFLR even when used with a simple set of 3D molecular descriptors without constructing a grid representation of the features. PFLR allows completing most of the computations solely in the space of descriptors, without experimental training data, which, however, bears no importance in the case of 3D QSAR but might be advantageous in other areas where multidimensional linear regression or partial least squares based methods are applicable.
机译:线性关系仍然是在相关特征,特性之间建立联系的最重要工具。名称“无参数线性关系”(PFLR)代表一种新的形式主义,一种广义的插值方案,可以轻松地以3D QSAR方式用于预测生物活性或其他属性。我们的研究表明,即使与简单的3D分子描述符集一起使用而无需构造特征的网格表示,PFLR仍具有良好的预测能力。 PFLR允许仅在描述符空间内完成大多数计算,而无需实验训练数据,但是,在3D QSAR情况下,这不重要,但在多维线性回归或基于偏最小二乘方法的其他领域可能是有利的适用。

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