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相关性理想指数:QSPR/QSAR模型预测潜力的一个标准?

The index of ideality of correlation: A criterion of predictive potential of QSPR/QSAR models?

作者信息

Toropov Andrey A, Toropova Alla P

机构信息

IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa 19, Milano, 20156, Italy.

IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa 19, Milano, 20156, Italy.

出版信息

Mutat Res Genet Toxicol Environ Mutagen. 2017 Jul;819:31-37. doi: 10.1016/j.mrgentox.2017.05.008. Epub 2017 May 17.

Abstract

The index of ideality of correlation (IIC) is a new criterion of the predictive potential of quantitative structure-property/activity relationships (QSPRs/QSARs). This IIC is calculated with using of the correlation coefficient between experimental and calculated values of endpoint for the calibration set, with taking into account the positive and negative dispersions between experimental and calculated values. The mutagenicity is well-known important characteristic of substances from ecological point of view. Consequently, the estimation of the IIC for mutagenicity is well motivated. It is confirmed that the utilization of this criterion significantly improves the predictive potential of QSAR models of mutagenicity. The new criterion can be used for other endpoints.

摘要

相关性理想指数(IIC)是定量结构-性质/活性关系(QSPRs/QSARs)预测潜力的一个新准则。该IIC通过使用校准集终点实验值与计算值之间的相关系数来计算,并考虑实验值与计算值之间的正、负离散度。从生态学角度来看,致突变性是物质众所周知的重要特性。因此,对致突变性的IIC进行评估是很有必要的。已证实,使用该准则可显著提高致突变性QSAR模型的预测潜力。这个新准则可用于其他终点。

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