Evidence map›Paper›PMID 22606364›Full record

ArticleThe journal of physical chemistry. C, Nanomaterials and interfaces2012

Predicting the DNA sequence dependence of nanopore ion current using atomic-resolution Brownian dynamics.

Jeffrey Comer, Aleksei Aksimentiev

Abstract read
In one paragraph

Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
  2. Review
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  6. Review
  7. Enzymes in a human cytoplasm model organize into submetabolon complexes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Atomic view of photosynthetic metabolite permeability pathways and confinement in synthetic carboxysome shells.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
  12. Single molecule delivery into living cells.Nature communications · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Jeffrey ComerDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Aleksei Aksimentiev

Funding

WHOLE CELL SIMULATIONP41RR005969 · NCRR · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI STONE, JOHN H · 1990 to 2011
$19.8M
Nanopore sequencing of DNA with MspAR01HG005115 · NHGRI · UNIVERSITY OF WASHINGTON · PI GUNDLACH, JENS, LASZLO, ANDREW · 2009 to 2024
$14.0M
NCRR NIH HHS P41 RR005969NHGRI NIH HHS R01 HG005115
6 · The paper itself

Abstract

It has become possible to distinguish DNA molecules of different nucleotide sequences by measuring ion current passing through a narrow pore containing DNA. To assist experimentalists in interpreting the results of such measurements and to improve the DNA sequence detection method, we have developed a computational approach that has both the atomic-scale accuracy and the computational efficiency required to predict DNA sequence-specific differences in the nanopore ion current. In our Brownian dynamics method, the interaction between the ions and DNA is described by three-dimensional potential of mean force maps determined to a 0.03 nm resolution from all-atom molecular dynamics simulations. While this atomic-resolution Brownian dynamics method produces results with orders of magnitude less computational effort than all-atom molecular dynamics requires, we show here that the ion distributions and ion currents predicted by the two methods agree. Finally, using our Brownian dynamics method, we find that a small change in the sequence of DNA within a pore can cause a large change in the ion current, and validate this result with all-atom molecular dynamics.

Identifiers

PMID22606364
PMCPMC3350822

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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.