Evidence map›Paper›PMID 29045861›Full record

ArticleBiophysical journal2017

Effects of Nanopore Charge Decorations on the Translocation Dynamics of DNA.

Ining Jou, Murugappan Muthukumar

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Nanopore event detection in a simple and adaptive way.bioRxiv : the preprint server for biology · 2026
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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 at 1 institution in 1 country.

Ining JouDepartment of Polymer Science and Engineering, Conte Research Center, University of Massachusetts, Amherst, Massachusetts.
Murugappan MuthukumarDepartment of Polymer Science and Engineering, Conte Research Center, University of Massachusetts, Amherst, Massachusetts. Electronic address: muthu@polysci.umass.edu.
University of Massachusetts Amherst · US

Funding

Modeling Macromolecular Transport through Protein Channels and NanoporesR01HG002776 · NHGRI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI MUTHUKUMAR, MURUGAPPAN · 2003 to 2022
$5.3M
NHGRI NIH HHS R01 HG002776
6 · The paper itself

Abstract

We have investigated the dynamics of single-stranded DNA as it translocates through charge-mutated protein nanopores. Translocation of DNA is a crucial step in nanopore-based sequencing platforms, where control over translocation speed remains one of the main challenges. Taking advantage of the interactions between negatively charged DNA and positively charged amino acid residues, the translocation speed of DNA can be manipulated by deliberate charge decorations inside the nanopore. We employed coarse-grained Langevin dynamics simulations to monitor the step-by-step movement of DNA through different mutations of α-hemolysin protein nanopores. We found that although the average translocation time per nucleotide is longer, in agreement with experiments, the DNA nucleotides do not translocate with a uniform speed. Furthermore, the location and spacing of the charge decorations can alter the translocation dynamics significantly, trapping DNA in some cases. Our findings can give insights when designing charge patterns in nanopores.

Indexed as

NanoporesAmino AcidsDNA, Single-StrandedHemolysin ProteinsIonsLipid BilayersMembrane PotentialsModels, GeneticMolecular Dynamics SimulationMotionMutationSequence Analysis, DNAStatic ElectricityAmino AcidsDNA, Single-StrandedHemolysin ProteinsIonsLipid Bilayers

Identifiers

PMID29045861
PMCPMC5647626
OpenAlexW2767072955

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.