| Literature DB >> 10397500 |
M L López-Rodríguez1, M J Morcillo, E Fernández, M L Rosado, L Orensanz, M E Beneytez, J Manzanares, J A Fuentes, K J Schaper.
Abstract
A test series of 32 phenylpiperazines III with affinity for 5-HT1A and alpha1 receptors was subjected to QSAR analysis using artificial neural networks (ANNs), in order to get insight into the structural requirements that are responsible for 5-HT1A/alpha1 selectivity. Good models and predictive power were obtained for 5-HT1A and alpha1 receptors. A comparison of these models gives information for the design of the new ligand EF-7412 (5-HT1A:Ki(nM)= 27; alpha1: Ki(nM) > 1000). This derivative displayed affinity for dopamine D2 receptor (Ki = 22 nM) and is selective for all other receptor examined (5-HT2A, 5-HT3, 5-HT4 and Bz). EF-7412 acts an antagonist in vivo in pre- and postsynaptic 5-HT1A receptor sites and as an antagonist in dopamine D2 receptor.Entities:
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Year: 1999 PMID: 10397500 DOI: 10.1016/s0960-894x(99)00254-1
Source DB: PubMed Journal: Bioorg Med Chem Lett ISSN: 0960-894X Impact factor: 2.823