Carbó-Dorca R
Department of Inorganic and Physical Chemistry, Ghent University, Girona 17071, Catalonia, Spain.
SAR QSAR Environ Res. 2007 May-Jun;18(3-4):265-84. doi: 10.1080/10629360701304113.
The present theoretical study analyses the Quantum QSPR fundamental linear equation predictive power. Two main alternative algorithms, among several possible choices, are fully described in an add one and add many basis, while the other possibilities are only sketched out. It is shown that one can also apply the described Quantum QSPR prediction algorithms to parent problems in the framework of empirical QSPR, based on the molecular space framework.
目前的理论研究分析了量子定量构效关系(Quantum QSPR)基本线性方程的预测能力。在几种可能的选择中,两种主要的替代算法在逐个添加和多个添加的基础上进行了全面描述,而其他可能性仅作了概述。结果表明,基于分子空间框架,也可以将所描述的量子定量构效关系预测算法应用于经验定量构效关系框架内的原始问题。