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Computational Structural Biology of S-nitrosylation of Cancer Targets

Overview of attention for article published in Frontiers in oncology, August 2018
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Title
Computational Structural Biology of S-nitrosylation of Cancer Targets
Published in
Frontiers in oncology, August 2018
DOI 10.3389/fonc.2018.00272
Pubmed ID
Authors

Emmanuelle Bignon, Maria Francesca Allega, Marta Lucchetta, Matteo Tiberti, Elena Papaleo

Abstract

Nitric oxide (NO) plays an essential role in redox signaling in normal and pathological cellular conditions. In particular, it is well known to react in vivo with cysteines by the so-called S-nitrosylation reaction. S-nitrosylation is a selective and reversible post-translational modification that exerts a myriad of different effects, such as the modulation of protein conformation, activity, stability, and biological interaction networks. We have appreciated, over the last years, the role of S-nitrosylation in normal and disease conditions. In this context, structural and computational studies can help to dissect the complex and multifaceted role of this redox post-translational modification. In this review article, we summarized the current state-of-the-art on the mechanism of S-nitrosylation, along with the structural and computational studies that have helped to unveil its effects and biological roles. We also discussed the need to move new steps forward especially in the direction of employing computational structural biology to address the molecular and atomistic details of S-nitrosylation. Indeed, this redox modification has been so far an underappreciated redox post-translational modification by the computational biochemistry community. In our review, we primarily focus on S-nitrosylated proteins that are attractive cancer targets due to the emerging relevance of this redox modification in a cancer setting.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Ph. D. Student 6 15%
Student > Bachelor 4 10%
Student > Postgraduate 3 8%
Student > Master 3 8%
Other 3 8%
Unknown 14 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 23%
Agricultural and Biological Sciences 5 13%
Chemistry 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Engineering 2 5%
Other 3 8%
Unknown 15 38%
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 21 May 2021.
All research outputs
#16,809,299
of 25,498,750 outputs
Outputs from Frontiers in oncology
#6,653
of 22,603 outputs
Outputs of similar age
#209,592
of 341,819 outputs
Outputs of similar age from Frontiers in oncology
#80
of 168 outputs
Altmetric has tracked 25,498,750 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,603 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 65% 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 341,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.