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Vol. 61, Issue 6, 1465-1475, June 2002
Departments of Pharmaceutical Biosciences (M.L., P.P., J.E.S.W.)
and Pharmaceutical Chemistry (T.L.), Uppsala University, Uppsala,
Sweden; and Melacure Therapeutics AB, Uppsala Science Park, Uppsala,
Sweden (T.L.)
We have evaluated the proteochemometrics approach in the analysis of
the interactions of a diverse set or organic ligands with subtypes of
serotonin, dopamine, histamine, and adrenergic receptors. As used
herein, proteochemometrics exploits affinity data for series of organic
amines binding to wild-type amine G protein-coupled receptors,
correlating it to descriptions and cross-description derived from the
primary amino acid sequences of the receptors and the computed
structures of the organic compounds. We show that after appropriate
data preprocessing, statistically valid models that have good external
predictive ability can be created. Evaluation of the models gave
important quantitative insight into the mode of interactions of the
amine G protein-coupled receptors with their ligands.
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