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Open AccessResearch article

Dibenzazecine compounds with a novel dopamine/5HT2A receptor profile and 3D-QSAR analysis

Alexandra Hamacher1 email, Mathias Weigt1 email, Michael Wiese1 email, Barbara Hoefgen1 email, Jochen Lehmann2 email and Matthias U Kassack1 email

Department of Pharmaceutical Chemistry, Institute of Pharmacy, University of Bonn, An der Immenburg 4, 53121 Bonn, Germany

Institute of Pharmacy, University of Jena, Philosophenweg 14, 07743 Jena, Germany

author email corresponding author email

BMC Pharmacology 2006, 6:11doi:10.1186/1471-2210-6-11

Published: 15 September 2006

Abstract

Background

Antipsychotics are divided into typical and atypical compounds based on clinical efficacy and side effects. The purpose of this study was to characterize in vitro a series of novel azecine-type compounds at human dopamine D1-D5 and 5HT2A receptors and to assign them to different classes according to their dopamine/5HT2A receptor profile.

Results

Regardless of using affinity data (pKi values at D1-D5 and 5HT2A) or selectivity data (15 log (Ki ratios)), principal component analysis with azecine-type compounds, haloperidol, and clozapine revealed three groups of dopamine/5HT2A ligands: 1) haloperidol; 2) clozapine plus four azecine-type compounds; 3) two hydroxylated dibenzazecines. Reducing the number of Ki ratios used for principal component analysis from 15 to two (the D1/D2 and D2/5HT2A Ki ratios) obtained the same three groups of compounds. The most potent dibenzazecine clustering in the same group as clozapine was the non-hydroxylated LE410 which shows a slightly different D2-like receptor profile (D2L > D3 > D4.4) than clozapine (D4.4 > D2L > D3). The monohydroxylated dibenzacezine LE404 clusters in a separate group from clozapine/LE410 and from haloperidol and shows increased D1 selectivity.

Conclusion

In conclusion, two compounds with a novel dopamine/5HT2A receptor profile, LE404 and LE410, with some differences in their respective D1/D2 receptor affinities including a validated pharmacophore-based 3D-QSAR model for D1 antagonists are presented.


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