Evidence map›Paper›PMID 42171462›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Large-Diameter DNA-Scaffolded Nanopores Enabled by Loosely Packed Peptides for Single-Molecule Sensing.

Zugui Peng, Daisuke Noshiro, Shiroh Futaki, Ryuji Kawano

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zugui PengDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei-shi, Tokyo, Japan.ORCID 0000-0002-3446-6058
Daisuke NoshiroInstitute for Genetic Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.ORCID 0000-0001-7024-2054
Shiroh FutakiGraduate School of Pharmaceutical Sciences, Kyoto University, Kyoto, Japan.ORCID 0000-0002-0124-4002
Ryuji KawanoDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei-shi, Tokyo, Japan.ORCID 0000-0001-6523-0649

Funding

JSPS 21H05229JSPS 24K17705JSPS 26K17875JST-CREST JPMJCR21B2
6 · The paper itself

Abstract

Creating alternative nanopores is crucial for advancing single-molecule methodologies. Peptide nanopores scaffolded by DNA nanostructures have emerged as a promising class of chemically synthesizable nanopores with organized geometries. However, no such nanopores have yet achieved single-molecule detection due to size limitations. Here, we overcome this limitation by employing the alamethicin (ALM) peptide, based on the hypothesis that peptides with looser helix-helix packing are advantageous for constructing large-diameter nanopores. The resulting DNA-ALM nanopores exhibited long-lived open states and conductance values comparable to those of natural protein nanopores. To further enhance pore functionality, we introduced asymmetric electrostatic forces by harnessing the intrinsic helix dipole of ALM, which facilitated pore expansion and improved ion transport efficiency. This modification led to enhanced conductance levels and enabled single-molecule sensing of biomolecules, including DNA and peptides. Overall, this work demonstrates a generalizable strategy for constructing functional, chemically synthesizable nanopores, providing a foundation for programmable nanopore design and next-generation biosensing applications.

Indexed as

AlamethicinBiosensing TechniquesDNA NanostructuresNanoporesAlamethicinDNA structuresnanotechnologypeptidesprotein designself‐assemblysingle‐molecule studies

Identifiers

PMID42171462
PMCPMC13360634

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.