Evidence map›Paper›PMID 28486472›Full record

ArticlePLoS computational biology2017

Single-molecule protein identification by sub-nanopore sensors.

Mikhail Kolmogorov, Eamonn Kennedy, Zhuxin Dong, Gregory Timp, Pavel A Pevzner

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Nanopore sensing: A physical-chemical approach.Biochimica et biophysica acta. Biomembranes · 2021
    Review
  11. Review
  12. Article
  13. Application of Solid-State Nanopore in Protein Detection.International journal of molecular sciences · 2020
    Review
  14. Review
  15. Review
  16. Biophysics and the Genomic Sciences.Biophysical journal · 2019
    Review
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Mikhail KolmogorovDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, California, United States of America.
Eamonn KennedyElectrical Engineering and Biological Science, University of Notre Dame, Notre Dame, Indiana, United States of America.
Zhuxin DongElectrical Engineering and Biological Science, University of Notre Dame, Notre Dame, Indiana, United States of America.
Gregory TimpElectrical Engineering and Biological Science, University of Notre Dame, Notre Dame, Indiana, United States of America.
Pavel A PevznerDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, California, United States of America.

Funding

TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2012 to 2018
$8.7M
NIGMS NIH HHS P41 GM103484
6 · The paper itself

Abstract

Recent advances in top-down mass spectrometry enabled identification of intact proteins, but this technology still faces challenges. For example, top-down mass spectrometry suffers from a lack of sensitivity since the ion counts for a single fragmentation event are often low. In contrast, nanopore technology is exquisitely sensitive to single intact molecules, but it has only been successfully applied to DNA sequencing, so far. Here, we explore the potential of sub-nanopores for single-molecule protein identification (SMPI) and describe an algorithm for identification of the electrical current blockade signal (nanospectrum) resulting from the translocation of a denaturated, linearly charged protein through a sub-nanopore. The analysis of identification p-values suggests that the current technology is already sufficient for matching nanospectra against small protein databases, e.g., protein identification in bacterial proteomes.

Indexed as

NanoporesAlgorithmsDatabases, ProteinNanotechnologyProteinsProteins

Identifiers

PMID28486472
PMCPMC5423552

What OpenQuestion holds

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LicenceCC BY
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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.