Rational Design Principles for <i>De Novo</i> α-Helical Peptide Barrels with Dynamic Conductive Channels

Despite advances in peptide and protein design, the rational design of membrane-spanning peptides that form conducting channels remains challenging due to our imperfect understanding of the sequence-to-structure relationships that drive membrane insertion, assembly, and conductance. Here, we describe the design and computational and experimental characterization of a series of coiled coil-based peptides that form transmembrane α-helical barrels with conductive channels. Through a combination of rational and computational design, we obtain barrels with 5 to 7 helices, as characterized in detergent micelles. In lipid bilayers, these peptide assemblies exhibit two conductance states with relative populations dependent on the applied potential: (i) low-conductance states that correlate with variations in the designed amino-acid sequences and modeled coiled-coil barrel geometries, indicating stable transmembrane α-helical barrels; and (ii) high-conductance states in which single channels change size in discrete steps. Notably, the high-conductance states are similar for all peptides in contrast to the low-conductance states. This indicates the formation of large, dynamic channels, as observed in natural barrel-stave peptide channels. These findings establish rational routes to design and tune functional membrane-spanning peptide channels with specific conductance and geometry.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-03-28
DOI
https://doi.org/10.1021/jacs.4c13933
Citations
6
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
4.84

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article

Rational Design Principles for De Novo α-Helical Peptide Barrels with Dynamic Conductive Channels

Derek N. Woolfson, Mark I. Wallace, Mikiko Sodeoka, Kozhinjampara R. Mahendran et al.
6 citations
Journal of the American Chemical Society
RNA and protein synthesis mechanisms
4.84
article

Rational Design Principles for De Novo α-Helical Peptide Barrels with Dynamic Conductive Channels

Derek N. Woolfson, Mark I. Wallace, Mikiko Sodeoka, Kozhinjampara R. Mahendran, Jaewoon Jung, Ai Niitsu, Jason T. Sengel, Hagan Bayley, Yuji Sugita, Alistair J. Scott, Andrew R. Thomson
article en
6 citations

Abstract

Despite advances in peptide and protein design, the rational design of membrane-spanning peptides that form conducting channels remains challenging due to our imperfect understanding of the sequence-to-structure relationships that drive membrane insertion, assembly, and conductance. Here, we describe the design and computational and experimental characterization of a series of coiled coil-based peptides that form transmembrane α-helical barrels with conductive channels. Through a combination of rational and computational design, we obtain barrels with 5 to 7 helices, as characterized in detergent micelles. In lipid bilayers, these peptide assemblies exhibit two conductance states with relative populations dependent on the applied potential: (i) low-conductance states that correlate with variations in the designed amino-acid sequences and modeled coiled-coil barrel geometries, indicating stable transmembrane α-helical barrels; and (ii) high-conductance states in which single channels change size in discrete steps. Notably, the high-conductance states are similar for all peptides in contrast to the low-conductance states. This indicates the formation of large, dynamic channels, as observed in natural barrel-stave peptide channels. These findings establish rational routes to design and tune functional membrane-spanning peptide channels with specific conductance and geometry.

Journal of the American Chemical SocietyVol. 147(14)
Mansfield University (US), King's College London (GB), University of Bristol (GB), University of Oxford (GB), Center for Research and Interdisciplinarity (FR), RIKEN Center for Sustainable Resource Science (JP), RIKEN (JP), RIKEN Center for Biosystems Dynamics Research (JP), RIKEN Center for Computational Science (JP), Trinity House (GB), University of Glasgow (GB), Rajiv Gandhi Centre for Biotechnology (IN)
Royal Society, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council, European Research Council, Japan Society for the Promotion of Science, RIKEN, Precursory Research for Embryonic Science and Technology, RIKEN Center for Biosystems Dynamics Research
Affordable and clean energy
Openalex Percentile: Top 5%
RNA and protein synthesis mechanisms
4.84
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