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Evaluation of a novel electronic eigenvalue (EEVA) molecular descriptor for QSAR/QSPR studies: validation using a benchmark steroid data set.

作者信息

Tuppurainen Kari, Viisas Marja, Laatikainen Reino, Peräkylä Mikael

机构信息

Department of Chemistry, University of Kuopio, P.O. Box 1627, FIN-70211 Kuopio, Finland.

出版信息

J Chem Inf Comput Sci. 2002 May-Jun;42(3):607-13. doi: 10.1021/ci0103830.

DOI:10.1021/ci0103830
PMID:12086522
Abstract

A novel electronic eigenvalue (EEVA) descriptor of molecular structure for use in the derivation of predictive QSAR/QSPR models is described. Like other spectroscopic QSAR/QSPR descriptors, EEVA is also invariant as to the alignment of the structures concerned. Its performance was tested with respect to the CBG (corticosteroid binding globulin) affinity of 31 benchmark steroids. It appeared that the electronic structure of the steroids, i.e., the "spectra" derived from molecular orbital energies, is directly related to the CBG binding affinities. The predictive ability of EEVA is compared to other QSAR approaches, and its performance is discussed in the context of the Hammett equation. The good performance of EEVA is an indication of the essential quantum mechanical nature of QSAR. The EEVA method is a supplement to conventional 3D QSAR methods, which employ fields or surface properties derived from Coulombic and van der Waals interactions.

摘要

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