Evidence map›Paper›PMID 39511871›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2025

Graphite-Based Bio-Mimetic Nanopores for Protein Sequencing and Beyond.

Chandan K Das, Maria Fyta

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Graphite-Based Bio-Mimetic Nanopores for Protein Sequencing and Beyond.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
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

2 authors.

Chandan K DasComputational Biotechnology, RWTH Aachen University, Worrignerweg 3, 52074, Aachen, Germany.ORCID 0009-0000-4838-8233
Maria FytaComputational Biotechnology, RWTH Aachen University, Worrignerweg 3, 52074, Aachen, Germany.

Funding

Bundesministerium für Bildung und Forschung 03ZU1208BI
6 · The paper itself

Abstract

Protein sequencing using nanopores represents the next frontier in bio-analytics. However, linearizing unfolded proteins and controlling their translocation speed through solid-state nanopores pose significant challenges in protein sequencing. In order to address these issues, this work proposes a biomimetic graphite-based nanopore construction. These nanopores feature a nanometer-sized pore with a constriction zone, mimicking the structure of the α-hemolysin protein pore. Our all-atom Molecular Dynamics simulations demonstrate the high practical potential of these nanopores by revealing how their charge state renders them complete ion-selective and generates an electro-osmotic flow. This study shows that this nanopore construction can detect peptides at the single amino acid level by analyzing the ionic current traces generated as peptides traverse the nanopore. The novelty of the proposed nanopore lies in its ability to modulate the hydrodynamic drag induced by electro-osmotic flow, relative to the electro-phoretic force. This investigation reveals that tuning these forces helps to linearize translocating peptides and extend the residence time of individual amino acids at the constriction zone of the pore. This significantly enhances the detection and sequencing efficiency of the pore. Furthermore, the high relevance of the proposed nanopores is underscored for seawater desalination through electrodialysis and extends to ion separation under salinity gradients.

Indexed as

Biomimetic MaterialsGraphiteNanoporesSequence Analysis, ProteinHemolysin ProteinsMolecular Dynamics SimulationPeptidesGraphiteHemolysin ProteinsPeptidesblue energyelectrodialysisMolecular Dynamics simulationnanoporeprotein sequencing

Identifiers

PMID39511871
PMCPMC11735877

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.