Principal Component Analysis Differentiates the Receptor Binding Profiles of Three Antipsychotic Drug Candidates from Current Antipsychotic Drugs
journal contributionposted 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
Any type of content formally published in an academic journal, usually following a peer-review process.
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 4−8 and 10−12. The weight gain inducing antipsychotics 6−8 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.