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

Abstract

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.