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Vol. 63, Issue 3, 489-498, March 2003
Department of Physiology, University of Arizona, Tucson, Arizona
(D.B., S.H.W.); and Computational Chemistry and Molecular Structure
Research, Eli Lilly and Co., Indianapolis, Indiana (S.E., J.H.W.)
Organic cation transporters play a critical role in the elimination of
therapeutic compounds in the liver and the kidney. We used
computational quantitative structure activity approaches to predict
molecular features that influence interaction with the human ortholog
of the organic cation transporter (hOCT1). [3H]tetraethylammonium uptake in HeLa cells stably
expressing hOCT1 was inhibited to varying extents by a diverse set of
30 molecules. A subset of 22 of these was used to produce, using
Catalyst, a pharmacophore that consisted of three hydrophobic features
and a positive ionizable feature. The correlation coefficient of
observed versus predicted IC50 was 0.86 for this training
set, which was superior to calculated logP alone (r = 0.73) as a predictor of hOCT1 inhibition. A descriptor-based
quantitative structure-activity relationship study using
Cerius2 resulted in an equation relating five molecular
descriptors to log IC50 with a correlation coefficient of
0.95. Furthermore, a group of phenylpyridinium and quinolinium
compounds were used to investigate the spatial limitations of the hOCT1
binding site. The affinity for hOCT was higher for
4-phenylpyridiniums > 3-phenylpyridiniums > quinolinium,
indicating that substrate affinity was influenced by the distribution
of hydrophobic mass. In addition, supraplanar hydrophobic mass was
found to increase the affinity for binding hOCT1. These results
indicate how a combination of computational and in vitro approaches may
yield insight into the binding affinity of transporters and may be
applicable to predicting these properties for new therapeutics.
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