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Structural Changes of RNA in Complex with Proteins in the SRP

Overview of attention for article published in Frontiers in Molecular Biosciences, February 2018
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Title
Structural Changes of RNA in Complex with Proteins in the SRP
Published in
Frontiers in Molecular Biosciences, February 2018
DOI 10.3389/fmolb.2018.00007
Pubmed ID
Authors

Janine K. Flores, Sandro F. Ataide

Abstract

The structural flexibility of RNA allows it to exist in several shapes and sizes. Thus, RNA is functionally diverse and is known to be involved in processes such as catalysis, ligand binding, and most importantly, protein recognition. RNA can adopt different structures, which can often dictate its functionality. When RNA binds onto protein to form a ribonucleoprotein complex (RNP), multiple interactions and conformational changes occur with the RNA and protein. However, there is the question of whether there is a specific pattern for these changes to occur upon recognition. In particular when RNP complexity increases with the addition of multiple proteins/RNA, it becomes difficult to structurally characterize the overall changes using the current structural determination techniques. Hence, there is a need to use a combination of biochemical, structural and computational modeling to achieve a better understanding of the processes that RNPs are involved. Nevertheless, there are well-characterized systems that are evolutionarily conserved [such as the signal recognition particle (SRP)] that give us important information on the structural changes of RNA and protein upon complex formation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 8 14%
Student > Bachelor 5 9%
Student > Master 3 5%
Student > Doctoral Student 2 4%
Other 4 7%
Unknown 19 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 26%
Chemistry 8 14%
Agricultural and Biological Sciences 6 11%
Computer Science 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 7%
Unknown 21 37%
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 05 February 2018.
All research outputs
#18,585,544
of 23,020,670 outputs
Outputs from Frontiers in Molecular Biosciences
#1,986
of 3,871 outputs
Outputs of similar age
#327,807
of 437,326 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#25
of 38 outputs
Altmetric has tracked 23,020,670 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 3,871 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 33rd percentile – i.e., 33% 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 437,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.