title: Evaluation of a novel electronic eigenvalue (EEVA) molecular descriptor for QSAR/QSPR studies: validation using a benchmark steroid data set.
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.
authors.affiliation: Department of Chemistry, University of Kuopio, P.O. Box 1627, FIN-70211 Kuopio, Finland. Kari.Tuppurainen@uku.fi
authors.forename: Kari
authors.initials: K
authors.lastname: Tuppurainen
authors.forename: Marja
authors.initials: M
authors.lastname: Viisas
authors.forename: Reino
authors.initials: R
authors.lastname: Laatikainen
authors.forename: Mikael
authors.initials: M
authors.lastname: Peräkylä
mesh_terms: D021281:Quantitative Structure-Activity Relationship; D013256:Steroids / Q000737:chemistry*
chemical_list: D013256:Steroids