Classification of drugs based on properties of sodium channel inhibition: a comparative automated patch-clamp study

There is only one established drug binding site on sodium channels. However, drug binding of sodium channels shows extreme promiscuity: ∼25% of investigated drugs have been found to potently inhibit sodium channels. The structural diversity of these molecules suggests that they may not share the bin...

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Veröffentlicht in:PloS one 2010-12, Vol.5 (12), p.e15568
Hauptverfasser: Lenkey, Nora, Karoly, Robert, Lukacs, Peter, Vizi, E Sylvester, Sunesen, Morten, Fodor, Laszlo, Mike, Arpad
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container_issue 12
container_start_page e15568
container_title PloS one
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creator Lenkey, Nora
Karoly, Robert
Lukacs, Peter
Vizi, E Sylvester
Sunesen, Morten
Fodor, Laszlo
Mike, Arpad
description There is only one established drug binding site on sodium channels. However, drug binding of sodium channels shows extreme promiscuity: ∼25% of investigated drugs have been found to potently inhibit sodium channels. The structural diversity of these molecules suggests that they may not share the binding site, and/or the mode of action. Our goal was to attempt classification of sodium channel inhibitors by measuring multiple properties of inhibition in electrophysiology experiments. We also aimed to investigate if different properties of inhibition correlate with specific chemical properties of the compounds. A comparative electrophysiological study of 35 compounds, including classic sodium channel inhibitors (anticonvulsants, antiarrhythmics and local anesthetics), as well as antidepressants, antipsychotics and neuroprotective agents, was carried out using rNav1.2 expressing HEK-293 cells and the QPatch automatic patch-clamp instrument. In the multi-dimensional space defined by the eight properties of inhibition (resting and inactivated affinity, potency, reversibility, time constants of onset and offset, use-dependence and state-dependence), at least three distinct types of inhibition could be identified; these probably reflect distinct modes of action. The compounds were clustered similarly in the multi-dimensional space defined by relevant chemical properties, including measures of lipophilicity, aromaticity, molecular size, polarity and electric charge. Drugs of the same therapeutic indication typically belonged to the same type. We identified chemical properties, which were important in determining specific properties of inhibition. State-dependence correlated with lipophilicity, the ratio of the neutral form of molecules, and aromaticity: We noticed that the highly state dependent inhibitors had at least two aromatic rings, logP>4.0, and pKa
doi_str_mv 10.1371/journal.pone.0015568
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However, drug binding of sodium channels shows extreme promiscuity: ∼25% of investigated drugs have been found to potently inhibit sodium channels. The structural diversity of these molecules suggests that they may not share the binding site, and/or the mode of action. Our goal was to attempt classification of sodium channel inhibitors by measuring multiple properties of inhibition in electrophysiology experiments. We also aimed to investigate if different properties of inhibition correlate with specific chemical properties of the compounds. A comparative electrophysiological study of 35 compounds, including classic sodium channel inhibitors (anticonvulsants, antiarrhythmics and local anesthetics), as well as antidepressants, antipsychotics and neuroprotective agents, was carried out using rNav1.2 expressing HEK-293 cells and the QPatch automatic patch-clamp instrument. 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However, drug binding of sodium channels shows extreme promiscuity: ∼25% of investigated drugs have been found to potently inhibit sodium channels. The structural diversity of these molecules suggests that they may not share the binding site, and/or the mode of action. Our goal was to attempt classification of sodium channel inhibitors by measuring multiple properties of inhibition in electrophysiology experiments. We also aimed to investigate if different properties of inhibition correlate with specific chemical properties of the compounds. A comparative electrophysiological study of 35 compounds, including classic sodium channel inhibitors (anticonvulsants, antiarrhythmics and local anesthetics), as well as antidepressants, antipsychotics and neuroprotective agents, was carried out using rNav1.2 expressing HEK-293 cells and the QPatch automatic patch-clamp instrument. 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subjects Alcohol
Alzheimer's disease
Anesthetics
Anesthetics - pharmacology
Anticonvulsants
Anticonvulsants - pharmacology
Antidepressants
Antipsychotic agents
Antipsychotics
Aromatic compounds
Aromaticity
Automation
Binding sites
Bioavailability
Biology
Brain damage
Channels
Chemical compounds
Chemical properties
Chemistry
Chemistry, Pharmaceutical - methods
Chromatography
Classification
Comparative analysis
Correlation
Dose-Response Relationship, Drug
Drug dosages
Drugs
Electric charge
Electrophysiological recording
Electrophysiology
Electrophysiology - methods
Epilepsy
Humans
Hydrogen-Ion Concentration
Inhibition
Inhibitors
Inhibitory Concentration 50
Kinetics
Lipophilicity
Local anesthetics
Mass spectrometry
Medicine
Mode of action
Neuroprotection
Neuroprotective agents
Patch-Clamp Techniques
Pharmacology
Polarity
Scientific imaging
Sodium
Sodium - chemistry
Sodium Channel Blockers - classification
Sodium Channel Blockers - pharmacology
Sodium channels
Sodium Channels - chemistry
title Classification of drugs based on properties of sodium channel inhibition: a comparative automated patch-clamp study
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