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Role of geometrical shape in like-charge attraction of DNA

Overview of attention for article published in The European Physical Journal E, March 2015
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Title
Role of geometrical shape in like-charge attraction of DNA
Published in
The European Physical Journal E, March 2015
DOI 10.1140/epje/i2015-15020-9
Pubmed ID
Authors

Michael Kuron, Axel Arnold

Abstract

While the phenomenon of like-charge attraction of DNA is clearly observed experimentally and in simulations, mean-field theories fail to predict it. Kornyshev et al. argued that like-charge attraction is due to DNA's helical geometry and hydration forces. Strong-coupling (SC) theory shows that attraction of like-charged rods is possible through ion correlations alone at large coupling parameters, usually by multivalent counterions. However for SC theory to be applicable, counterion-counterion correlations perpendicular to the DNA strands need to be sufficiently small, which is not a priori the case for DNA even with trivalent counterions. We study a system containing infinitely long DNA strands and trivalent counterions by computer simulations employing varying degrees of coarse-graining. Our results show that there is always attraction between the strands, but its magnitude is indeed highly dependent on the specific shape of the strand. While discreteness of the charge distribution has little influence on the attractive forces, the role of the helical charge distribution is considerable: charged rods maintain a finite distance in equilibrium, while helices collapse to close contact with a phase shift of π, in full agreement with SC predictions. The SC limit is applicable because counterions strongly bind to the charged sites of the helices, so that helix-counterion interactions dominate over counterion-counterion interactions. Thus DNA's helical geometry is not crucial for like-charge DNA attraction, but strongly enhances it, and electrostatic interactions in the strong-coupling limit are sufficient to explain this attraction.

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Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Researcher 4 36%
Student > Bachelor 2 18%
Unknown 1 9%
Readers by discipline Count As %
Physics and Astronomy 5 45%
Materials Science 2 18%
Psychology 1 9%
Chemistry 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Other 0 0%
Unknown 1 9%
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 29 March 2015.
All research outputs
#18,961,244
of 23,498,099 outputs
Outputs from The European Physical Journal E
#485
of 650 outputs
Outputs of similar age
#194,667
of 264,970 outputs
Outputs of similar age from The European Physical Journal E
#7
of 10 outputs
Altmetric has tracked 23,498,099 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 650 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
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