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Structural insights on the dynamics of proteasome formation

Overview of attention for article published in Biophysical Reviews, December 2017
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Title
Structural insights on the dynamics of proteasome formation
Published in
Biophysical Reviews, December 2017
DOI 10.1007/s12551-017-0381-4
Pubmed ID
Authors

Koichi Kato, Tadashi Satoh

Abstract

Molecular organization in biological systems comprises elaborately programmed processes involving metastable complex formation of biomolecules. This is exemplified by the formation of the proteasome, which is one of the largest and most complicated biological supramolecular complexes. This biomolecular machinery comprises approximately 70 subunits, including structurally homologous, but functionally distinct, ones, thereby exerting versatile proteolytic functions. In eukaryotes, proteasome formation is non-autonomous and is assisted by assembly chaperones, which transiently associate with assembly intermediates, operating as molecular matchmakers and checkpoints for the correct assembly of proteasome subunits. Accumulated data also suggest that eukaryotic proteasome formation involves scrap-and-build mechanisms. However, unlike the eukaryotic proteasome subunits, the archaeal subunits show little structural divergence and spontaneously assemble into functional machinery. Nevertheless, the archaeal genomes encode homologs of eukaryotic proteasome assembly chaperones. Recent structural and functional studies of these proteins have advanced our understanding of the evolution of molecular mechanisms involved in proteasome biogenesis. This knowledge, in turn, provides a guiding principle in designing molecular machineries using protein engineering approaches and de novo synthesis of artificial molecular systems.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 26%
Student > Ph. D. Student 4 15%
Student > Doctoral Student 2 7%
Researcher 2 7%
Professor > Associate Professor 2 7%
Other 4 15%
Unknown 6 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 41%
Agricultural and Biological Sciences 5 19%
Chemistry 2 7%
Business, Management and Accounting 1 4%
Psychology 1 4%
Other 1 4%
Unknown 6 22%
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 15 December 2017.
All research outputs
#20,454,971
of 23,011,300 outputs
Outputs from Biophysical Reviews
#704
of 799 outputs
Outputs of similar age
#374,712
of 439,309 outputs
Outputs of similar age from Biophysical Reviews
#32
of 50 outputs
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So far Altmetric has tracked 799 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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