Towards predictable transmembrane transport: QSAR analysis of anion binding and anion transport
Towards predictable transmembrane transport: QSAR analysis of anion binding and anion transport
The transport of anions across biological membranes by small molecules is a growing research field due to the potential therapeutic benefits of these compounds. However, little is known about the exact mechanism by which these drug-like molecules work and which molecular features make a good transporter. An extended series of 1-hexyl-3-phenylthioureas were synthesized, fully characterized (NMR, mass spectrometry, IR and single crystal diffraction) and their anion binding and anion transport properties were assessed using 1H NMR titration techniques and a variety of vesicle-based experiments. Quantitative structure-activity relationship (QSAR) analysis revealed that the anion binding abilities of the mono-thioureas are dominated by the (hydrogen bond) acidity of the thiourea NH function. Furthermore, mathematical models show that the experimental transmembrane anion transport ability is mainly dependent on the lipophilicity of the transporter (partitioning into the membrane), but smaller contributions of molecular size (diffusion) and hydrogen bond acidity (anion binding) were also present. Finally, we provide the first step towards predictable anion transport by employing the QSAR equations to estimate the transmembrane transport ability of four new compounds.
3036-3045
Gale, Philip A.
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Busschaert, Nathalie
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Bradberry, Samuel J.
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Wenzel, Marco
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Haynes, Cally
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Hiscock, Jennifer R.
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Kirby, Isabelle
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Karagiannidis, Louise E.
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Moore, Stephen J.
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Wells, Neil
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Herniman, Julie
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Langley, John
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Horton, Peter
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Light, Mark E.
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Marques, Igor
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Costa, Paulo Jorge
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Felix, Vitor
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Frey, J.G.
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8 May 2013
Gale, Philip A.
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Busschaert, Nathalie
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Bradberry, Samuel J.
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Wenzel, Marco
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Haynes, Cally
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Hiscock, Jennifer R.
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Kirby, Isabelle
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Karagiannidis, Louise E.
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Moore, Stephen J.
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Wells, Neil
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Herniman, Julie
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Langley, John
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Horton, Peter
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Light, Mark E.
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Marques, Igor
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Costa, Paulo Jorge
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Felix, Vitor
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Frey, J.G.
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Gale, Philip A., Busschaert, Nathalie, Bradberry, Samuel J., Wenzel, Marco, Haynes, Cally, Hiscock, Jennifer R., Kirby, Isabelle, Karagiannidis, Louise E., Moore, Stephen J., Wells, Neil, Herniman, Julie, Langley, John, Horton, Peter, Light, Mark E., Marques, Igor, Costa, Paulo Jorge, Felix, Vitor and Frey, J.G.
(2013)
Towards predictable transmembrane transport: QSAR analysis of anion binding and anion transport.
Chemical Science, 4 (8), .
(doi:10.1039/C3SC51023A).
Abstract
The transport of anions across biological membranes by small molecules is a growing research field due to the potential therapeutic benefits of these compounds. However, little is known about the exact mechanism by which these drug-like molecules work and which molecular features make a good transporter. An extended series of 1-hexyl-3-phenylthioureas were synthesized, fully characterized (NMR, mass spectrometry, IR and single crystal diffraction) and their anion binding and anion transport properties were assessed using 1H NMR titration techniques and a variety of vesicle-based experiments. Quantitative structure-activity relationship (QSAR) analysis revealed that the anion binding abilities of the mono-thioureas are dominated by the (hydrogen bond) acidity of the thiourea NH function. Furthermore, mathematical models show that the experimental transmembrane anion transport ability is mainly dependent on the lipophilicity of the transporter (partitioning into the membrane), but smaller contributions of molecular size (diffusion) and hydrogen bond acidity (anion binding) were also present. Finally, we provide the first step towards predictable anion transport by employing the QSAR equations to estimate the transmembrane transport ability of four new compounds.
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Published date: 8 May 2013
Organisations:
Characterisation and Analytics, Chemistry, Faculty of Natural and Environmental Sciences, Organic Chemistry: Synthesis, Catalysis and Flow
Identifiers
Local EPrints ID: 352306
URI: http://eprints.soton.ac.uk/id/eprint/352306
ISSN: 1478-6524
PURE UUID: 2bb54509-5293-4dfb-9093-9c738694e922
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Date deposited: 09 May 2013 10:59
Last modified: 15 Mar 2024 03:06
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Contributors
Author:
Philip A. Gale
Author:
Nathalie Busschaert
Author:
Samuel J. Bradberry
Author:
Marco Wenzel
Author:
Cally Haynes
Author:
Jennifer R. Hiscock
Author:
Isabelle Kirby
Author:
Louise E. Karagiannidis
Author:
Stephen J. Moore
Author:
Neil Wells
Author:
Peter Horton
Author:
Igor Marques
Author:
Paulo Jorge Costa
Author:
Vitor Felix
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