De Novo Design of α-helical Peptide Nanopores for Single-Molecule Detection Using Helix Packing Motifs
Open accessPublished version of a preprint
Abstract
High Resolution Image Download MS PowerPoint Slide Nanopore sensing using transmembrane proteins holds great potential for single-molecule detection. The creation of pore-forming proteins is an emerging research direction, and one promising strategy is the bottom-up de novo design of nanopores. However, de novo α-helical nanopores with sufficiently large dimensions to accommodate single-molecule sensing have not been previously reported. Here, we designed and constructed α-helical nanopores based on two helix-packing motifs, GX 6 G and GX 3 G, which we named FFK and LEK. Electrical recordings revealed that both FFK and LEK form nanopores in lipid membranes with high conductance. FFK exhibited multiple conductance states, whereas LEK formed more monodisperse pores. Although both nanopores assembled via a stepwise monomer-joining mechanism, the assembly and disassembly dynamics of FFK were significantly faster than those of LEK. We further demonstrated the single-molecule sensing capabilities of both pores, showing that they can detect cyclodextrin derivatives, while LEK could additionally sense poly- l -lysine. Overall, these results demonstrate the feasibility of designing functional α-helical nanopores for nanopore sensing technologies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Computational design of water-soluble α-helical barrels
Thomson, A. R., Wood, C. W., Burton, A. J., Bartlett, G. J., Sessions, R. B., Brady, R. L., & Woolfson, D. N. (2014) · Science · doi:10.1126/science.1257452 · Cited by 330 · see citing works
Wang, Y., Zhang, S., Jia, W., Fan, P., Wang, L., Li, X., Chen, J., Cao, Z., Du, X., Liu, Y., et al. (2022) · Nature Nanotechnology · doi:10.1038/s41565-022-01169-2 · Cited by 143 · see citing works
Flagged first, then by citations
- Authors
- Peng, Z., Usami, M., Nakada, A., Sekiya, Y., Fujita, S., Mijiddorj, B., Kawamura, I., & Kawano, R.
- Affiliations
- Tokyo University of Agriculture and Technology (JP)
- National University of Mongolia (MN)
- Yokohama National University (JP)
- Corresponding author
- Kawano, Ryuji
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2025-12-01
- Volume
- 19
- Issue
- 49
- Pages
- 41789-41802
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- PMC
- PMC12713772
- OpenAlex
- W4416854193
- Cited by
- 8
- References
- 3
- Citations by year
- 2026: 7 · 2025: 1
- FWCI
- 1.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- ACS Nano (publishedVersion, cc-by-nc-nd)
- ChemRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- Funders
- Core Research for Evolutional Science and Technology (JPMJCR21B2)
- Japan Society for the Promotion of Science (21H05229, 24K17705)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Nanopore and Nanochannel Transport Studies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Molecular Junctions and Nanostructures
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- de novo protein design, single-molecule detection, pore-forming proteins
- MeSH terms
- Protein Conformation, alpha-Helical, Single Molecule Imaging, Peptides, Amino Acid Motifs, Nanopores
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review