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.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Adrenergic alpha-1 Receptor Antagonists
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Dopamine Antagonists / chemical synthesis
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Dopamine Antagonists / chemistry
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Dopamine Antagonists / pharmacology
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Dopamine D2 Receptor Antagonists*
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Drug Design
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Neural Networks, Computer
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Piperazines / chemical synthesis*
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Piperazines / chemistry
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Piperazines / pharmacology
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Receptors, Dopamine D2 / metabolism
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Receptors, Serotonin / drug effects*
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Receptors, Serotonin / metabolism
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Receptors, Serotonin, 5-HT1
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Serotonin Antagonists / chemical synthesis*
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Serotonin Antagonists / chemistry
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Serotonin Antagonists / pharmacology*
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Sulfonamides / chemical synthesis*
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Sulfonamides / chemistry
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Sulfonamides / pharmacology
Substances
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Adrenergic alpha-1 Receptor Antagonists
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Dopamine Antagonists
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Dopamine D2 Receptor Antagonists
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Piperazines
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Receptors, Dopamine D2
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Receptors, Serotonin
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Receptors, Serotonin, 5-HT1
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Serotonin Antagonists
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Sulfonamides
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EF 7412