journal article·2017-03-28

Interactions between Membranes and “Metaphilic” Polypeptide Architectures with Diverse Side-Chain Populations

Michelle W. Lee, Ming Han, Guilherme Volpe Bossa, Carly Snell, Ziyuan Song, Haoyu Tang, Lichen Yin, Jianjun Cheng, Sylvio May, Erik Luijten, Gerard C. L. Wong

ACS Nano· Volume 11· Issue 3
Publisher page

Abstract

At physiological conditions, most proteins or peptides can fold into relatively stable structures that present on their molecular surfaces specific chemical patterns partially smeared out by thermal fluctuations. These nanoscopically defined patterns of charge, hydrogen bonding, and/or hydrophobicity, along with their elasticity and shape stability (folded proteins have Young’s moduli of ∼1 × 10 8 Pa), largely determine and limit the interactions of these molecules, such as molecular recognition and allosteric regulation. In this work, we show that the membrane-permeating activity of antimicrobial peptides (AMPs) and cell-penetrating peptides (CPPs) can be significantly enhanced using prototypical peptides with “molten” surfaces: metaphilic peptides with quasi-liquid surfaces and adaptable shapes. These metaphilic peptides have a bottlebrush-like architecture consisting of a rigid helical core decorated with mobile side chains that are terminated by cationic or hydrophobic groups. Computer simulations show that these flexible side chains can undergo significant rearrangement in response to different environments, giving rise to adaptable surface chemistry of the peptide. This quality makes it possible to control their hydrophobicity over a broad range while maintaining water solubility, unlike many AMPs and CPPs. Thus, we are able to show how the activity of these peptides is amplified by hydrophobicity and cationic charge, and rationalize these results using a quantitative mean-field theory. Computer simulations show that the shape-changing properties of the peptides and the resultant adaptive presentation of chemistry play a key enabling role in their interactions with membranes.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Antimicrobial Peptides and Activities · Polydiacetylene-based materials and applications · RNA Interference and Gene Delivery

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

Affiliations

Department of Physics, North Dakota State University, Fargo, North Dakota 58108, United States

Department of Materials Science and Engineering, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States

Funding

National Institute of Allergy and Infectious Diseases · Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior · Division of Materials Research

References (100+)

Show source-provided references
1. 10.1529/biophysj.108.13135910.1529/biophysj.108.131359 ↗
2. 10.1007/s12013-007-9001-410.1007/s12013-007-9001-4 ↗
3. 10.1083/jcb.120.4.92310.1083/jcb.120.4.923 ↗
4. 10.1038/7123110.1038/71231 ↗
5. 10.1016/S0301-4622(03)00096-610.1016/S0301-4622(03)00096-6 ↗
6. 10.1038/415389a10.1038/415389a ↗
7. 10.1038/nrmicro109810.1038/nrmicro1098 ↗
8. 10.1038/nbt126710.1038/nbt1267 ↗
9. 10.1124/pr.55.1.210.1124/pr.55.1.2 ↗
10. Lee M. W.
11. 10.1016/S0005-2736(99)00200-X10.1016/S0005-2736(99)00200-X ↗
12. 10.1016/S0167-7799(97)01156-610.1016/S0167-7799(97)01156-6 ↗
13. 10.1016/j.drudis.2012.03.00210.1016/j.drudis.2012.03.002 ↗
14. 10.1016/j.molmed.2012.04.01210.1016/j.molmed.2012.04.012 ↗
15. 10.1016/j.febslet.2013.04.03110.1016/j.febslet.2013.04.031 ↗
16. 10.1074/jbc.M00754020010.1074/jbc.M007540200 ↗
17. 10.1016/j.addr.2007.10.01610.1016/j.addr.2007.10.016 ↗
18. 10.1021/nn405726910.1021/nn4057269 ↗
19. Pooga M. · 2015 · 310.1007/978-1-4939-2806-4_1 ↗
20. 10.1073/pnas.160989311310.1073/pnas.1609893113 ↗
21. 10.1021/ja400146z10.1021/ja400146z ↗
22. 10.1073/pnas.150143011210.1073/pnas.1501430112 ↗
23. 10.1073/pnas.150789311210.1073/pnas.1507893112 ↗
24. 10.1038/nmicrobiol.2016.16210.1038/nmicrobiol.2016.162 ↗
25. 10.1039/c2sm25405k10.1039/c2sm25405k ↗
26. 10.1021/bc100275r10.1021/bc100275r ↗
27. 10.1002/anie.20110257210.1002/anie.201102572 ↗
28. 10.1021/bc100130r10.1021/bc100130r ↗
29. Lindemann F. A. · Phys. Z. · 1910 · 11 · 609
30. 10.1016/0370-1573(87)90047-010.1016/0370-1573(87)90047-0 ↗
31. 10.1073/pnas.94.26.1442910.1073/pnas.94.26.14429 ↗
32. 10.1103/PhysRevLett.49.157510.1103/PhysRevLett.49.1575 ↗
33. 10.1103/PhysRevLett.54.13410.1103/PhysRevLett.54.134 ↗
34. 10.1038/nbt.302010.1038/nbt.3020 ↗
35. 10.1021/ab500057810.1021/ab5000578 ↗
36. 10.1038/477412a10.1038/477412a ↗
37. 10.1038/nsb0595-38010.1038/nsb0595-380 ↗
38. 10.1021/bi961870p10.1021/bi961870p ↗
39. 10.1038/nature0189110.1038/nature01891 ↗
40. 10.1074/jbc.M41340620010.1074/jbc.M413406200 ↗
41. 10.1074/jbc.M111.30360210.1074/jbc.M111.303602 ↗
42. 10.1038/ncomms120910.1038/ncomms1209 ↗
43. 10.1002/anie.20110426210.1002/anie.201104262 ↗
44. 10.1039/c3sc51328a10.1039/c3sc51328a ↗
45. 10.1016/j.cocis.2009.02.00410.1016/j.cocis.2009.02.004 ↗
46. 10.1021/bi960835f10.1021/bi960835f ↗
47. 10.1002/prot.34008020210.1002/prot.340080202 ↗
48. Tytler E. M. · J. Biol. Chem. · 1993 · 268 · 2211210.1016/S0021-9258(20)80655-3 ↗
49. 10.1038/nrm178410.1038/nrm1784 ↗
50. 10.1529/biophysj.108.13317310.1529/biophysj.108.133173 ↗
51. 10.1021/jp711107y10.1021/jp711107y ↗
52. 10.1002/bip.36037050410.1002/bip.360370504 ↗
53. 10.1016/S0005-2736(99)00205-910.1016/S0005-2736(99)00205-9 ↗
54. 10.1002/1097-0282(2000)55:1<31::AID-BIP40>3.0.CO;2-910.1002/1097-0282(2000)55:1<31::AID-BIP40>3.0.CO;2-9 ↗
55. 10.1016/0014-5793(88)80077-210.1016/0014-5793(88)80077-2 ↗
56. 10.1021/bi00165a02010.1021/bi00165a020 ↗
57. 10.1016/j.febslet.2009.10.02210.1016/j.febslet.2009.10.022 ↗
58. 10.1016/j.cossms.2013.09.00410.1016/j.cossms.2013.09.004 ↗
59. 10.1021/ja308459j10.1021/ja308459j ↗
60. 10.1073/pnas.110879510810.1073/pnas.1108795108 ↗
61. 10.1021/ja200079a10.1021/ja200079a ↗
62. 10.1016/j.febslet.2009.11.04610.1016/j.febslet.2009.11.046 ↗
63. 10.1074/jbc.M112.35872110.1074/jbc.M112.358721 ↗
64. 10.1002/anie.20070444410.1002/anie.200704444 ↗
65. 10.1088/0953-8984/18/28/S0110.1088/0953-8984/18/28/S01 ↗
66. Gelbart W. M. · 199410.1007/978-1-4613-8389-5 ↗
67. 10.1128/CMR.00056-0510.1128/CMR.00056-05 ↗
68. 10.1021/ma302577e10.1021/ma302577e ↗
69. 10.1016/j.bbamem.2014.04.00710.1016/j.bbamem.2014.04.007 ↗
70. 10.1073/pnas.080645610510.1073/pnas.0806456105 ↗
71. 10.1021/jp104527y10.1021/jp104527y ↗
72. 10.1021/bc060077y10.1021/bc060077y ↗
73. 10.1021/la200917y10.1021/la200917y ↗
74. 10.1073/pnas.070657410510.1073/pnas.0706574105 ↗
75. 10.1007/s10867-008-9074-310.1007/s10867-008-9074-3 ↗
76. 10.1016/j.bpj.2009.05.06610.1016/j.bpj.2009.05.066 ↗
77. 10.1021/bi00039a00910.1021/bi00039a009 ↗
78. 10.1021/ja072511s10.1021/ja072511s ↗
79. 10.1021/bi00019a03310.1021/bi00019a033 ↗
80. 10.1021/bi035682s10.1021/bi035682s ↗
81. 10.1016/j.febslet.2007.04.04610.1016/j.febslet.2007.04.046 ↗
82. 10.1016/j.bbamem.2012.02.02410.1016/j.bbamem.2012.02.024 ↗
83. 10.1021/bi051839010.1021/bi0518390 ↗
84. 10.1021/bi602527t10.1021/bi602527t ↗
85. 10.1074/jbc.M20420220010.1074/jbc.M204202200 ↗
86. 10.1016/S0005-2736(99)00202-310.1016/S0005-2736(99)00202-3 ↗
87. 10.1073/pnas.97.24.1300310.1073/pnas.97.24.13003 ↗
88. 10.1002/psc.96810.1002/psc.968 ↗
89. 10.1034/j.1399-3011.2000.00723.x10.1034/j.1399-3011.2000.00723.x ↗
90. 10.1016/0005-2736(77)90099-210.1016/0005-2736(77)90099-2 ↗
91. Israelachvili J. N. · 1992
92. 10.1007/s10189007003910.1007/s101890070039 ↗
93. 10.1039/b003570j10.1039/b003570j ↗
94. 10.1021/ja074961q10.1021/ja074961q ↗
95. 10.1021/ja803304x10.1021/ja803304x ↗
96. 10.1073/pnas.110855810810.1073/pnas.1108558108 ↗
97. 10.1063/1.213578510.1063/1.2135785 ↗
98. 10.1107/S002188981200403710.1107/S0021889812004037 ↗
99. Hammersley, A. P.The FIT2D Home Page.http://www.esrf.eu/computing/scientific/FIT2D/. Accessed November 21, 2016.
100. 10.1515/znc-1973-11-120910.1515/znc-1973-11-1209 ↗