1. Academic Validation
  2. Principal component analysis differentiates the receptor binding profiles of three antipsychotic drug candidates from current antipsychotic drugs

Principal component analysis differentiates the receptor binding profiles of three antipsychotic drug candidates from current antipsychotic drugs

  • J Med Chem. 2007 Oct 18;50(21):5103-8. doi: 10.1021/jm070516u.
Jos H M Lange 1 Jan-Hendrik Reinders Jeroen T B M Tolboom Jeffrey C Glennon Hein K A C Coolen Chris G Kruse
Affiliations

Affiliation

  • 1 Solvay Pharmaceuticals, Research Laboratories, C. J. van Houtenlaan 36, 1381 CP Weesp, The Netherlands. [email protected]
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.

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