Towards Predictable Transmembrane Transport: QSAR Analysis of the Anion Binding and Anion Transport Properties of Thioureas Philip A. Gale N. Busschaert, S.J. Bradberry, M. Wenzel, C.J.E. Haynes, J.R. Hiscock, I.L. Kirby, L.E. Karagiannidis, S.J. Moore, N.J. Wells, J. Herniman, G.J. Langley, P.N. Horton, M.E. Light, V. Félix, J.G. Frey, P. A. Gale, Chemical Science 2013, 4, 3036-3045 .
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Towards Predictable Transmembrane Transport: QSAR Analysis of the Anion Binding and Anion Transport Properties of Thioureas
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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Towards Predictable Transmembrane Transport: QSAR Analysis of the Anion Binding and Anion Transport Properties of Thioureas
Philip A. Gale
N. Busschaert, S.J. Bradberry, M. Wenzel, C.J.E. Haynes, J.R. Hiscock, I.L. Kirby, L.E. Karagiannidis, S.J. Moore, N.J. Wells, J. Herniman, G.J. Langley, P.N. Horton, M.E. Light, V. Félix, J.G. Frey, P. A. Gale, Chemical Science 2013, 4, 3036-3045 .
Tools from medicinal chemistry• Hansch analysis: used in medicinal chemistry to examine
quantitative structure-activity relationships across a series of molecules. The log(1/IC50) value is correlated to a linear combination of predictable molecular properties, usually logP (water:octanol partition coefficient) and/ or Hammett constants using multiple regression techniques:
log(1/IC50) = k1π + k2σ + k3
where IC50 = molar concentration required for a standard response
π is related to lipophilicity (logP)
σ = Hammett coefficient (related to binding strength)
C. Hansch, A. Leo and R. W. Taft, Chem. Rev., 1991, 91, 165.
variation of hydrogen bond donor strength (σ) and lipophilicity
thiourea anion binding site
Transporter designR
NH
NH
S
1 R = Br2 R = CF33 R = Cl4 R = CN5 R = COCF36 R = COMe7 R = COOMe8 R = F9 R = H10 R = I11 R = NO2
12 R = O(CO)Me13 R = OCF314 R = OEt15 R = OMe16 R = SMe17 R = SO2Me18 R = CH319 R = CH2CH320 R = (CH2)2CH321 R = (CH2)3CH322 R = (CH2)4CH3
Chloride efflux promoted by a selection of compounds 1-22 (2 mol% thiourea to lipid) from unilamellar POPC vesicles loaded with 489 mM NaCl buffered to pH 7.2 with 5 mM sodium phosphate salts. The vesicles were dispersed in 489 mM NaNO3 buffered to pH 7.2 with 5 mM sodium phosphate salts. At the end of the experiment, detergent was added to lyse the vesicles and calibrate the ISE to 100 % chloride efflux. Each point represents the average of at least 9 trials. DMSO was used as control.
Cl-NO3-
Anion transport at 2% loading
Anion transport trendsHill analysis !E = EmaxCn/(EC50
n+Cn) !E is the magnitude of an observed effect Emax is the maximum value of this effect (in this case Emax = 100 % chloride efflux) C is the concentration of carrier n is the Hill coefficient of sigmoidality EC50 is the effective concentration of carrier required to mediate 50 % of the maximum response
Br
N
S
N
H H
EC50 = 0.80 mol% w.r.t. lipid
A. V. Hill, Biochem. J., 1913, 7, 471.
variation of hydrogen bond donor strength (σ) and lipophilicity
thiourea anion binding site
Transporter designR
NH
NH
S
1 R = Br2 R = CF33 R = Cl4 R = CN5 R = COCF36 R = COMe7 R = COOMe8 R = F9 R = H10 R = I11 R = NO2
12 R = O(CO)Me13 R = OCF314 R = OEt15 R = OMe16 R = SMe17 R = SO2Me18 R = CH319 R = CH2CH320 R = (CH2)2CH321 R = (CH2)3CH322 R = (CH2)4CH3
variation of hydrogen bond donor strength (σ) and lipophilicity
thiourea anion binding site
Transporter designR
NH
NH
S
2 R = CF33 R = Cl4 R = CN5 R = COCF3
7 R = COOMe8 R = F9 R = H10 R = I11 R = NO2
12 R = O(CO)Me13 R = OCF3
15 R = OMe16 R = SMe17 R = SO2Me18 R = CH319 R = CH2CH3
21 R = (CH2)3CH322 R = (CH2)4CH3
Hansch analysis
!
log(1/EC50) = k1A + k2B + k3C + k4
N. Busschaert, S.J. Bradberry, M. Wenzel, C.J.E. Haynes, J.R. Hiscock, I.L. Kirby, L.E. Karagiannidis, S.J. Moore, N.J. Wells, J. Herniman, G.J. Langley, P.N. Horton, M.E. Light, V. Félix, J.G. Frey, P. A. Gale,
Chemical Science 2013, 4, 3036-3045 .
Mr (g/mol) PSA solvent acc surface area
volume Surface Area Molecular Volume Vsmax Vsmin PI Molar refractivity Molecular volume
M. J. Hynes, J. Chem. Soc. Dalton Trans., 1993, 311; Hammett constants for substituents in para-position taken from: A. Hansch et al., Chem. Rev., 1991,91, 165.
Graphical representation of the correlation between anion binding (logKa) and the Hammett constant σp for compounds 1-22 (excluding 1, 6, 14 and 20). Linear fits are represented by a blue line. (a). interaction with Cl- vs. Hammett constant; (b) interaction with H2PO4 vs. Hammett constant-; (c) interaction with HCO3- vs. Hammett constant.
logKa(Cl-) = 0.55(±0.03)*σp + 1.17(±0.01)
N = 18, R² = 0.96, R²adj = 0.96, RMSE = 0.04, F = 424
logKa(H2PO4-) = 0.85(±0.06)*σp + 2.38(±0.02)
N = 17, R² = 0.92, R²adj = 0.91, RMSE = 0.09, F = 167
logKa(HCO3-) = 0.88(±0.10)*σp + 2.40(±0.04)
N = 16, R² = 0.84, R²adj = 0.83, RMSE = 0.13, F = 73
QSAR analysis of anion binding
LipophilicityThe logP of a compound can be correlated to the retention time in a reverse phase HPLC experiment (elution with water:methanol gradient). The retention times were correlated with calculated logP values to identify the best model.
C. Giaginis et al., J. Liq. Chromatogr. Relat. Technol., 2008, 31, 79; (b) R. Quesada and co-workers, Chem. Commun., 2012, 48, 5274. www.vcclabs.org; I. Moriguchi et al., Chem. Pharm. Bull., 1992, 40, 127.
ClogP calculated using Daylight v4.73 ClogP calculated using VCC labs website
R2 = 0.955 R2 = 0.719
M. J. Hynes, J. Chem. Soc. Dalton Trans., 1993, 311; Hammett constants for substituents in para position taken from: A. Hansch et al., Chem. Rev., 1991,91, 165.
Graphical representation of the correlation between anion binding (logKa) and the Hammett constant σp for compounds 1-22 (excluding 1, 6, 14 and 20). Linear fits are represented by a blue line. (a). interaction with Cl- vs. Hammett constant; (b) interaction with H2PO4 vs. Hammett constant-; (c) interaction with HCO3- vs. Hammett constant.
logKa(Cl-) = 0.55(±0.03)*σp + 1.17(±0.01)
N = 18, R² = 0.96, R²adj = 0.96, RMSE = 0.04, F = 424
logKa(H2PO4-) = 0.85(±0.06)*σp + 2.38(±0.02)
N = 17, R² = 0.92, R²adj = 0.91, RMSE = 0.09, F = 167
logKa(HCO3-) = 0.88(±0.10)*σp + 2.40(±0.04)
N = 16, R² = 0.84, R²adj = 0.83, RMSE = 0.13, F = 73
QSAR analysis of anion binding
Mr (g/mol) PSA solvent acc surface area
volume Surface Area Molecular Volume Vsmax Vsmin PI Molar refractivity Molecular volume
N = 18, R² = 0.89, R²adj = 0.87, RMSE = 0.21, F = 42
R
NH
NH
S
1 R = Br2 R = CF33 R = Cl4 R = CN5 R = COCF36 R = COMe7 R = COOMe8 R = F9 R = H10 R = I11 R = NO2
12 R = O(CO)Me13 R = OCF314 R = OEt15 R = OMe16 R = SMe17 R = SO2Me18 R = CH319 R = CH2CH320 R = (CH2)2CH321 R = (CH2)3CH322 R = (CH2)4CH3
Final model: relative parameters
Cl-NO3
-
Calculated using JMP® 9.0.0
N. Busschaert, S.J. Bradberry, M. Wenzel, C.J.E. Haynes, J.R. Hiscock, I.L. Kirby, L.E. Karagiannidis, S.J. Moore, N.J. Wells, J. Herniman, G.J. Langley, P.N. Horton, M.E. Light, V. Félix, J.G. Frey, P. A. Gale,
Chemical Science 2013, 4, 3036-3045 .
Linear combinations of parameters
Calculated using JMP® 9.0.0
Graphical depiction of the values of the coefficients in the equation when the descriptor values are scaled to have a mean of zero and a range of two using JMP 9.0.0. This shows that lipophilicity (RT or logP) has the greatest effect on anion transport.
N. Busschaert, S.J. Bradberry, M. Wenzel, C.J.E. Haynes, J.R. Hiscock, I.L. Kirby, L.E. Karagiannidis, S.J. Moore, N.J. Wells, J. Herniman, G.J. Langley, P.N. Horton, M.E. Light, V. Félix, J.G. Frey, P. A. Gale,
Chemical Science 2013, 4, 3036-3045 .
Predictions
N. Busschaert, S.J. Bradberry, M. Wenzel, C.J.E. Haynes, J.R. Hiscock, I.L. Kirby, L.E. Karagiannidis, S.J. Moore, N.J. Wells, J. Herniman, G.J. Langley, P.N. Horton, M.E. Light, V. Félix, J.G. Frey, P. A. Gale,
Chemical Science 2013, 4, 3036-3045 .
Conclusions
“From anion receptors to transporters”
P.A. Gale, Acc. Chem. Res. 2011, 44, 216-226.
!!Hansch analysis of anion transport results may reveal the molecular parameters that we should optimise in order to design an efficient anion transporter. For the thioureas studied these are logP, affinity and molecular size. !!!!!
“Small molecule lipid bilayer anion transporters for biological applications” N. Busschaert and
P.A. Gale,
Angew. Chem. Int. Ed., 2013, 52, 1374-1382.
“Anion transporters and biological systems”
P.A. Gale, R. Pérez-Tomás and R. Quesada, Acc. Chem. Res. 2013, DOI: 10.1021/
ar400019p.
2041-6520(2013)4:8;1-N
ISSN 2041-6520
Chemical Sciencewww.rsc.org/chemicalscience Volume 4 | Number 8 | August 2013 | Pages 2979–3348
EDGE ARTICLEPhilip A. Gale et al.Towards predictable transmembrane transport: QSAR analysis of anion binding and transport
!!!!
Research support and collaborations in Southampton: !
Dr. Mark E. Light Dr John Langley
Dr Neil Wells Julie Herniman
Prof. Jonathan Essex Prof. Jeremy Frey
!
Current group: !
Dr Jenny Hiscock Dr Wim van Rossom
Dr Nathalie Busschaert !
Isabelle Kirby Louise Karagiannides
Francesca Piana Stuart Berry
Xin Wu Michael Spooner
Former group members: !
Dr Christine C. Tong Dr Korakot Navakhun
Dr Joachim Garric Dr Claudia Caltagirone
Dr Gareth W. Bates Dr Marco Wenzel Dr Stephen Moore
Sam Bradberry Dr Cally Haynes
Prof. Jeff Davis Dr William Harrell Jr.
!Prof Janez Plavec Dr Damjan Makuc Prof Kate Jolliffe