Abstract
Pre-clinical investigation of some aryl-piperidinyl ether histamine H3 receptor antagonists revealed a strong hERG binding. To overcome this issue, we have developed a QSAR model specially dedicated to H3 receptor ligands. This model was designed to be directly applicable in medicinal chemistry with no need of molecular modeling. The resulting recursive partitioning trees are robust (80-85% accuracy), but also simple and comprehensible. A novel promising lead emerged from our work and the structure-activity relationships are presented.
Copyright © 2011 Elsevier Ltd. All rights reserved.
MeSH terms
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Binding Sites / drug effects
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Dose-Response Relationship, Drug
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Ethers / chemical synthesis
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Ethers / chemistry
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Ethers / pharmacology*
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Histamine H3 Antagonists / chemical synthesis
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Histamine H3 Antagonists / chemistry
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Histamine H3 Antagonists / pharmacology*
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Humans
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Ligands
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Models, Molecular
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Molecular Structure
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Quantitative Structure-Activity Relationship
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Stereoisomerism
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Trans-Activators / antagonists & inhibitors*
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Trans-Activators / metabolism
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Transcriptional Regulator ERG
Substances
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ERG protein, human
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Ethers
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Histamine H3 Antagonists
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Ligands
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Trans-Activators
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Transcriptional Regulator ERG