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用相关性平衡法对抗肿瘤药物辛醇/水分配系数的 QSPR 建模。

QSPR modeling of octanol/water partition coefficient of antineoplastic agents by balance of correlations.

机构信息

Institute of Geology and Geophysics, 100041, Khodzhibaev St. 49, Tashkent, Uzbekistan.

出版信息

Eur J Med Chem. 2010 Apr;45(4):1639-47. doi: 10.1016/j.ejmech.2009.12.043. Epub 2010 Jan 6.

Abstract

Three different splits into the subtraining set (n = 22), the set of calibration (n = 21), and the test set (n = 12) of 55 antineoplastic agents have been examined. By the correlation balance of SMILES-based optimal descriptors quite satisfactory models for the octanol/water partition coefficient have been obtained on all three splits. The correlation balance is the optimization of a one-variable model with a target function that provides both the maximal values of the correlation coefficient for the subtraining and calibration set and the minimum of the difference between the above-mentioned correlation coefficients. Thus, the calibration set is a preliminary test set.

摘要

已经检查了三个不同的子训练集(n=22)、校准集(n=21)和测试集(n=12),其中包含 55 种抗肿瘤药物。通过基于 SMILES 的最佳描述符的相关性平衡,在所有三个子集中都获得了辛醇/水分配系数的相当令人满意的模型。相关性平衡是一个单变量模型的优化,目标函数提供了子训练集和校准集的相关系数的最大值以及上述相关系数之间的差值的最小值。因此,校准集是一个初步的测试集。

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