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Understanding DNA under oxidative stress and sensitization: the role of molecular modeling

Overview of attention for article published in Frontiers in Chemistry, July 2015
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  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Understanding DNA under oxidative stress and sensitization: the role of molecular modeling
Published in
Frontiers in Chemistry, July 2015
DOI 10.3389/fchem.2015.00043
Pubmed ID
Authors

Elise Dumont, Antonio Monari

Abstract

DNA is constantly exposed to damaging threats coming from oxidative stress, i.e., from the presence of free radicals and reactive oxygen species. Sensitization from exogenous and endogenous compounds that strongly enhance the frequency of light-induced lesions also plays an important role. The experimental determination of DNA lesions, though a difficult subject, is somehow well established and allows to elucidate even extremely rare DNA lesions. In parallel, molecular modeling has become fundamental to clearly understand the fine mechanisms related to DNA defects induction. Indeed, it offers an unprecedented possibility to get access to an atomistic or even electronic resolution. Ab initio molecular dynamics may also describe the time-evolution of the molecular system and its reactivity. Yet the modeling of DNA (photo-)reactions does necessitate elaborate multi-scale methodologies to tackle a damage induction reactivity that takes place in a complex environment. The double-stranded DNA environment is first characterized by a very high flexibility, but also a strongly inhomogeneous electrostatic embedding. Additionally, one aims at capturing more subtle effects, such as the sequence selectivity which is of critical important for DNA damage. The structure and dynamics of the DNA/sensitizers complexes, as well as the photo-induced electron- and energy-transfer phenomena taking place upon sensitization, should be carefully modeled. Finally the factors inducing different repair ratios for different lesions should also be rationalized. In this review we will critically analyze the different computational strategies used to model DNA lesions. A clear picture of the complex interplay between reactivity and structural factors will be sketched. The use of proper multi-scale modeling leads to the in-depth comprehension of DNA lesions mechanisms and also to the rational design of new chemo-therapeutic agents.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 12 18%
Student > Ph. D. Student 10 15%
Student > Bachelor 6 9%
Student > Doctoral Student 4 6%
Other 15 22%
Unknown 7 10%
Readers by discipline Count As %
Chemistry 16 24%
Biochemistry, Genetics and Molecular Biology 12 18%
Agricultural and Biological Sciences 7 10%
Medicine and Dentistry 7 10%
Neuroscience 4 6%
Other 9 13%
Unknown 12 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 August 2015.
All research outputs
#13,927,627
of 22,778,347 outputs
Outputs from Frontiers in Chemistry
#905
of 5,897 outputs
Outputs of similar age
#130,535
of 262,584 outputs
Outputs of similar age from Frontiers in Chemistry
#4
of 18 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,897 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done well, scoring higher than 83% of its peers.
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 262,584 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.