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Molecular quantum similarity analysis of estrogenic activity
Journal of chemical information and computer sciences (2003)
  • A G Saliner
  • L Amat
  • R Cabo-Dorca
  • Terry W Schultz, University of Tennessee - Knoxville
  • M T Cronin

The main objective of this study was to evaluate the capability of 120 aromatic chemicals to bind to the human alpha estrogen receptor (hER alpha) by the use of quantum similarity methods. The experimental data were segregated into two categories, i.e., those compounds with and without estrogenicity activity (active and inactive). To identify potential ligands, semiquantitative structure-activity relationships were developed for the complete set correlating the presence or lack of binding affinity to the estrogen receptor with structural features of the molecules. The structure-activity relationships were based upon molecular similarity indices, which implicitly contain information related to changes in the electron distributions of the molecules, along with indicator variables, accounting for several structural features. In addition, the whole set was split into several chemical classes for modeling purposes. Models were validated by dividing the complete set into several training and test sets to allow for external predictions to be made.

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Citation Information
A G Saliner, L Amat, R Cabo-Dorca, Terry W Schultz, et al.. "Molecular quantum similarity analysis of estrogenic activity" Journal of chemical information and computer sciences Vol. 43 Iss. 4 (2003)
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