journal article·2021-12-28Open access

Water Nanoconfined in a Hydrophobic Pore: Molecular Dynamics Simulations of Transmembrane Protein 175 and the Influence of Water Models

Charlotte I. Lynch, Gianni Klesse, Shanlin Rao, Stephen J. Tucker, Mark S. P. Sansom

ACS Nano· Volume 15· Issue 12

Abstract

Water molecules within biological ion channels are in a nanoconfined environment and therefore exhibit behaviors which differ from that of bulk water. Here, we investigate the phenomenon of hydrophobic gating, the process by which a nanopore may spontaneously dewet to form a “vapor lock” if the pore is sufficiently hydrophobic and/or narrow. This occurs without steric occlusion of the pore. Using molecular dynamics simulations with both rigid fixed-charge and polarizable (AMOEBA) force fields, we investigate this wetting/dewetting behavior in the transmembrane protein 175 ion channel. We examine how a range of rigid fixed-charge and polarizable water models affect wetting/dewetting in both the wild-type structure and in mutants chosen to cover a range of nanopore radii and pore-lining hydrophobicities. Crucially, we find that the rigid fixed-charge water models lead to similar wetting/dewetting behaviors, but that the polarizable water model resulted in an increased wettability of the hydrophobic gating region of the pore. This has significant implications for molecular simulations of nanoconfined water, as it implies that polarizability may need to be included if we are to gain detailed mechanistic insights into wetting/dewetting processes. These findings are of importance for the design of functionalized biomimetic nanopores (e.g., sensing or desalination) as well as for furthering our understanding of the mechanistic processes underlying biological ion channel function.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nanopore and Nanochannel Transport Studies · Ion channel regulation and function · Lipid Membrane Structure and Behavior

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biochemistry, University of Oxford, South Parks Road, Oxford, United Kingdom OX1 3QU

Clarendon Laboratory, Department of Physics, University of Oxford, Parks Road, Oxford, United Kingdom OX1 3PU

Funding

Engineering and Physical Sciences Research Council · Wellcome Trust · Biotechnology and Biological Sciences Research Council

References (87)

Show source-provided references
1. 10.1021/acsnano.0c0737210.1021/acsnano.0c07372 ↗
2. 10.1039/c0cs00053a10.1039/c0cs00053a ↗
3. 10.1515/BC.2004.12010.1515/BC.2004.120 ↗
4. 10.1146/annurev.physchem.59.032607.09381510.1146/annurev.physchem.59.032607.093815 ↗
5. 10.1021/acs.jpcc.9b0217810.1021/acs.jpcc.9b02178 ↗
6. 10.1021/acs.chemrev.9b0083010.1021/acs.chemrev.9b00830 ↗
7. 10.1021/acs.jpclett.1c0044710.1021/acs.jpclett.1c00447 ↗
8. 10.1016/j.jmb.2014.07.03010.1016/j.jmb.2014.07.030 ↗
9. 10.1016/j.str.2016.10.00510.1016/j.str.2016.10.005 ↗
10. 10.1016/j.bpj.2012.06.00310.1016/j.bpj.2012.06.003 ↗
11. 10.1038/nnano.2011.18910.1038/nnano.2011.189 ↗
12. 10.1021/acs.jpcb.0c0928510.1021/acs.jpcb.0c09285 ↗
13. 10.1021/nn503930p10.1021/nn503930p ↗
14. 10.1038/s41586-020-2646-510.1038/s41586-020-2646-5 ↗
15. 10.1126/science.abc818210.1126/science.abc8182 ↗
16. 10.1021/jp012233y10.1021/jp012233y ↗
17. 10.1073/pnas.113684410010.1073/pnas.1136844100 ↗
18. 10.1088/1478-3967/1/1/00510.1088/1478-3967/1/1/005 ↗
19. 10.1103/PhysRevLett.89.17550210.1103/PhysRevLett.89.175502 ↗
20. 10.1063/1.159095610.1063/1.1590956 ↗
21. 10.1529/biophysj.105.06786810.1529/biophysj.105.067868 ↗
22. 10.1073/pnas.190270211610.1073/pnas.1902702116 ↗
23. 10.1021/acsnano.6b0786510.1021/acsnano.6b07865 ↗
24. 10.1021/acsnano.0c0438710.1021/acsnano.0c04387 ↗
25. 10.1016/j.bpj.2011.02.01610.1016/j.bpj.2011.02.016 ↗
26. Macdonald A. · 2021 · 8510.1007/978-3-030-67587-5_4 ↗
27. 10.1016/j.jmb.2019.06.00310.1016/j.jmb.2019.06.003 ↗
28. 10.1039/C8FD00013A10.1039/C8FD00013A ↗
29. 10.1021/acsnano.1c0015510.1021/acsnano.1c00155 ↗
30. 10.1021/jacs.0c0239410.1021/jacs.0c02394 ↗
31. 10.1371/journal.pcbi.100565910.1371/journal.pcbi.1005659 ↗
32. 10.1021/acs.jctc.0c0116410.1021/acs.jctc.0c01164 ↗
33. 10.1021/acs.jpcb.0c0861310.1021/acs.jpcb.0c08613 ↗
34. 10.1021/acs.jctc.0c0096810.1021/acs.jctc.0c00968 ↗
35. 10.1021/acs.jcim.0c0021710.1021/acs.jcim.0c00217 ↗
36. 10.1039/C8CP03791D10.1039/C8CP03791D ↗
37. 10.1063/1.509417010.1063/1.5094170 ↗
38. 10.1016/j.molstruc.2021.13102210.1016/j.molstruc.2021.131022 ↗
39. 10.1021/acs.jpcb.0c1138310.1021/acs.jpcb.0c11383 ↗
40. 10.1038/nature2326910.1038/nature23269 ↗
41. 10.7554/eLife.5343010.7554/eLife.53430 ↗
42. 10.7554/eLife.5368310.7554/eLife.53683 ↗
43. 10.1038/s41586-021-03185-z10.1038/s41586-021-03185-z ↗
44. 10.1021/jp400750z10.1021/jp400750z ↗
45. 10.1021/jp510896n10.1021/jp510896n ↗
46. 10.1126/science.aat419110.1126/science.aat4191 ↗
47. 10.1039/D0NH00180E10.1039/D0NH00180E ↗
48. 10.1103/PhysRevB.101.18420210.1103/PhysRevB.101.184202 ↗
49. 10.1063/1.366321910.1063/1.3663219 ↗
50. 10.1063/1.492216610.1063/1.4922166 ↗
51. 10.1039/C9CP02485A10.1039/C9CP02485A ↗
52. 10.1021/jz501780a10.1021/jz501780a ↗
53. 10.1063/1.44586910.1063/1.445869 ↗
54. 10.1021/j100308a03810.1021/j100308a038 ↗
55. 10.1063/1.47648210.1063/1.476482 ↗
56. 10.1063/1.496017510.1063/1.4960175 ↗
57. 10.1002/wcms.134710.1002/wcms.1347 ↗
58. 10.1021/acs.jpcb.0c0748710.1021/acs.jpcb.0c07487 ↗
59. 10.1021/acs.jpcc.8b0984010.1021/acs.jpcc.8b09840 ↗
60. 10.1126/science.789260410.1126/science.7892604 ↗
61. 10.1021/acsnano.9b0977710.1021/acsnano.9b09777 ↗
62. 10.1038/s41557-021-00688-010.1038/s41557-021-00688-0 ↗
63. 10.1063/1.494848510.1063/1.4948485 ↗
64. 10.1063/1.497569010.1063/1.4975690 ↗
65. 10.1073/pnas.170276011410.1073/pnas.1702760114 ↗
66. 10.1021/acs.jpclett.9b0265210.1021/acs.jpclett.9b02652 ↗
67. 10.1039/D1SC01887F10.1039/D1SC01887F ↗
68. 10.1021/acsnano.0c0863410.1021/acsnano.0c08634 ↗
69. 10.1038/s42004-021-00544-910.1038/s42004-021-00544-9 ↗
70. Abiko, L. A.; Teixeira, R. D.; Engilberge, S.; Grahl, A.; Grzesiek, S. Filling of a Water-Free Void Explains the Allosteric Regulation of the β1-Adrenergic Receptor by Cholesterol. bioRxiv, 2021.08.30.457941, August 31, 2021, ver. 1.www.biorxiv.org/content/10.1101/2021.08.30.457941v1 (accessed 2021-10-30).
71. 10.1016/0263-7855(90)80070-V10.1016/0263-7855(90)80070-V ↗
72. 10.1021/ct100569y10.1021/ct100569y ↗
73. 10.1016/j.str.2015.05.00610.1016/j.str.2015.05.006 ↗
74. 10.1016/j.softx.2015.06.00110.1016/j.softx.2015.06.001 ↗
75. 10.1021/ja962176010.1021/ja9621760 ↗
76. 10.1063/1.240842010.1063/1.2408420 ↗
77. 10.1063/1.32869310.1063/1.328693 ↗
78. 10.1063/1.46439710.1063/1.464397 ↗
79. 10.1002/(SICI)1096-987X(199709)18:12<1463::AID-JCC4>3.0.CO;2-H10.1002/(SICI)1096-987X(199709)18:12<1463::AID-JCC4>3.0.CO;2-H ↗
80. 10.1021/ct400370210.1021/ct4003702 ↗
81. 10.1021/ja037005r10.1021/ja037005r ↗
82. 10.1080/00268976.2018.143620110.1080/00268976.2018.1436201 ↗
83. 10.1002/jcc.2178710.1002/jcc.21787 ↗
84. Gowers, R. J.; Linke, M.; Barnoud, J.; Reddy, T. J. E.; Melo, M. N.; Seyler, S. L.; Dotson, D. L.; Domanski, J.; Buchoux, S.; Kenney, I. M.; Beckstein, O. In MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations. Proceedings from the 15th Python in Science conference (SciPy 2016), July 11–17, 2016, Austin, TX; Benthall, S., Rostrup, S., Eds. SciPy: Austin, TX, 2016; pp 102–109.10.25080/Majora-629e541a-00e ↗
85. 10.1038/s41586-020-2649-210.1038/s41586-020-2649-2 ↗
86. 10.1016/0263-7855(96)00018-510.1016/0263-7855(96)00018-5 ↗
87. 10.1109/MCSE.2007.5510.1109/MCSE.2007.55 ↗