Evidence map›Paper›PMID 25395899›Full record

ArticleJournal of computational electronics2014

Modeling thermophoretic effects in solid-state nanopores.

Maxim Belkin, Shu-Han Chao, Gino Giannetti, Aleksei Aksimentiev

Abstract read
In one paragraph

Article in Journal of computational electronics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Maxim BelkinBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, 61801.
Shu-Han ChaoDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, 61801.
Gino GiannettiDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, 61801.
Aleksei AksimentievDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, 61801.

Funding

WHOLE CELL SIMULATIONP41RR005969 · NCRR · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI STONE, JOHN H · 1990 to 2011
$19.8M
Plasmonic nanopores for trapping, controlled motion and sequencing of DNAR01HG007406 · NHGRI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI AKSIMENTIEV, ALEKSEI · 2013 to 2016
$2.4M
NCRR NIH HHS P41 RR005969NHGRI NIH HHS R01 HG007406
6 · The paper itself

Abstract

Local modulation of temperature has emerged as a new mechanism for regulation of molecular transport through nanopores. Predicting the effect of such modulations on nanopore transport requires simulation protocols capable of reproducing non-uniform temperature gradients observed in experiment. Conventional molecular dynamics (MD) method typically employs a single thermostat for maintaining a uniform distribution of temperature in the entire simulation domain, and, therefore, can not model local temperature variations. In this article, we describe a set of simulation protocols that enable modeling of nanopore systems featuring non-uniform distributions of temperature. First, we describe a method to impose a temperature gradient in all-atom MD simulations based on a boundary-driven non-equilibrium MD protocol. Then, we use this method to study the effect of temperature gradient on the distribution of ions in bulk solution (the thermophoretic effect). We show that DNA nucleotides exhibit differential response to the same temperature gradient. Next, we describe a method to directly compute the effective force of a thermal gradient on a prototypical biomolecule-a fragment of double-stranded DNA. Following that, we demonstrate an all-atom MD protocol for modeling thermophoretic effects in solid-state nanopores. We show that local heating of a nanopore volume can be used to regulate the nanopore ionic current. Finally, we show how continuum calculations can be coupled to a coarse-grained model of DNA to study the effect of local temperature modulation on electrophoretic motion of DNA through plasmonic nanopores. The computational methods described in this article are expected to find applications in rational design of temperature-responsive nanopore systems.

Indexed as

boundary-driven MDMolecular dynamicsnanofluidicsnon-equilibrium MDplasmonic heatingSoret coefficientthermodiffusionthermophoresis

Identifiers

PMID25395899
PMCPMC4226534

What OpenQuestion holds

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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.