Anesthesia & Analgesia · 2004 · 14 citations · 20 references
We investigated the molecular basis for the immobilizing activity of nonhalogenated volatile anesthetics by using comparative molecular field analysis (CoMFA). In vivo potency data (expressed as minimum alveolar anesthetic concentrations) for 38 structurally diverse drugs were obtained from the literature. The anesthetics were randomly divided into a training-set (n = 28) used to formulate the activity models and a test-set (n = 10) used to independently assess the models' predictive power. The anesthetic structures were aligned to maximize their similarity in molecular shape and electrostatic potential to conformers of the most active drug in the group: hexanol. The individual conformers and alignments with maximum similarity (calculated with combined Carbo indices) were retained and used to derive the CoMFA activity models. The final CoMFA model explained 95.5% of the variance in the observed activities of the training-set anesthetics. The model had good predictive capability for both the training-set drugs (cross-validated r(2) = 0.824) and the randomly excluded test-set anesthetics (r(2) = 0.921). Pharmacophoric maps were derived by identifying the spatial distribution of key areas in which steric and electrostatic interactions are important in determining the immobilizing activity of the anesthetics considered.
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Richard D. Cramer, Jeffrey D. Bunce, David E. Patterson et al. · Quantitative Structure-Activity Relationships · 1988 · 838 citations
Qsar Studies, Partial Least Squares, Predictive Toxicology +12
QSAR and 3D QSAR in drug design Part 1: methodology
Hugo Kubinyi · Drug Discovery Today · 1997 · 349 citations
William J. Dunn, Svante Wold, Ulf Edlund et al. · Quantitative Structure-Activity Relationships · 1984 · 245 citations
Engineering, Chemical Analysis, Structural Bioinformatics +24