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Principal Component Analysis Differentiates the Receptor Binding Profiles of Three Antipsychotic Drug Candidates from Current Antipsychotic Drugs

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journal contribution
posted on 18.10.2007 by Jos H. M. Lange, Jan-Hendrik Reinders, Jeroen T. B. M. Tolboom, Jeffrey C. Glennon, Hein K. A. C. Coolen, Chris G. Kruse
The receptor binding affinities of the three drug candidates 1 (SLV310), 2 (SLV313), and 3 (SLV314) were positioned against the results from nine (a)typical antipsychotic drugs. The receptor binding data from sixteen monoaminergic receptors served as the input in a principal component analysis (PCA). The PCA outcome revealed a unique binding profile of 1, 2, and 3 as compared with the reference compounds 48 and 1012. The weight gain inducing antipsychotics 68 clustered in the PCA by scoring strongly negative for factor 1. The hyperprolactinaemia related antipsychotics 4, 5, 10, and 12 clustered by their negative scores for factor 2.

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