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Modeling thermophoretic effects in solid-state nanopores

Overview of attention for article published in Journal of Computational Electronics, July 2014
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Title
Modeling thermophoretic effects in solid-state nanopores
Published in
Journal of Computational Electronics, July 2014
DOI 10.1007/s10825-014-0594-8
Pubmed ID
Authors

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

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.

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The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Spain 1 2%
United States 1 2%
Unknown 45 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Researcher 7 15%
Student > Master 6 13%
Student > Bachelor 5 10%
Professor 5 10%
Other 6 13%
Unknown 4 8%
Readers by discipline Count As %
Engineering 11 23%
Chemistry 8 17%
Physics and Astronomy 8 17%
Agricultural and Biological Sciences 5 10%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 7 15%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from Journal of Computational Electronics
#87
of 117 outputs
Outputs of similar age
#146,417
of 204,689 outputs
Outputs of similar age from Journal of Computational Electronics
#1
of 2 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 117 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them