Evidence map›Paper›PMID 37101662›Full record

ArticleACS nanoscience Au2022

Distinguishing between Similar Miniproteins with Single-Molecule Nanopore Sensing: A Computational Study.

Sebastian Cardoch, Nicusor Timneanu, Carl Caleman, Ralph H Scheicher

Abstract read
In one paragraph

Article in ACS nanoscience Au, 2022. 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.

Sebastian CardochDepartment of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden.ORCID https://orcid.org/0000-0003-0707-1832
Nicusor TimneanuDepartment of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden.ORCID https://orcid.org/0000-0001-7328-0400
Carl CalemanCenter for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany.ORCID https://orcid.org/0000-0003-2638-1940
Ralph H ScheicherDepartment of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden.ORCID https://orcid.org/0000-0001-5397-7753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A nanopore is a tool in single-molecule sensing biotechnology that offers label-free identification with high throughput. Nanopores have been successfully applied to sequence DNA and show potential in the study of proteins. Nevertheless, the task remains challenging due to the large variability in size, charges, and folds of proteins. Miniproteins have a small number of residues, limited secondary structure, and stable tertiary structure, which can offer a systematic way to reduce complexity. In this computational work, we theoretically evaluated sensing two miniproteins found in the human body using a silicon nitride nanopore. We employed molecular dynamics methods to compute occupied-pore ionic current magnitudes and electronic structure calculations to obtain interaction strengths between pore wall and miniprotein. From the interaction strength, we derived dwell times using a mix of combinatorics and numerical solutions. This latter approach circumvents typical computational demands needed to simulate translocation events using molecular dynamics. We focused on two miniproteins potentially difficult to distinguish owing to their isotropic geometry, similar number of residues, and overall comparable structure. We found that the occupied-pore current magnitudes not to vary significantly, but their dwell times differ by 1 order of magnitude. Together, these results suggest a successful identification protocol for similar miniproteins.

Identifiers

PMID37101662
PMCPMC10125149

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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.