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Ultrastable cellulosome-adhesion complex tightens under load

Overview of attention for article published in Nature Communications, December 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
3 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
98 Dimensions

Readers on

mendeley
112 Mendeley
citeulike
1 CiteULike
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Title
Ultrastable cellulosome-adhesion complex tightens under load
Published in
Nature Communications, December 2014
DOI 10.1038/ncomms6635
Pubmed ID
Authors

Constantin Schoeler, Klara H. Malinowska, Rafael C. Bernardi, Lukas F. Milles, Markus A. Jobst, Ellis Durner, Wolfgang Ott, Daniel B. Fried, Edward A. Bayer, Klaus Schulten, Hermann E. Gaub, Michael A. Nash

Abstract

Challenging environments have guided nature in the development of ultrastable protein complexes. Specialized bacteria produce discrete multi-component protein networks called cellulosomes to effectively digest lignocellulosic biomass. While network assembly is enabled by protein interactions with commonplace affinities, we show that certain cellulosomal ligand-receptor interactions exhibit extreme resistance to applied force. Here, we characterize the ligand-receptor complex responsible for substrate anchoring in the Ruminococcus flavefaciens cellulosome using single-molecule force spectroscopy and steered molecular dynamics simulations. The complex withstands forces of 600-750 pN, making it one of the strongest bimolecular interactions reported, equivalent to half the mechanical strength of a covalent bond. Our findings demonstrate force activation and inter-domain stabilization of the complex, and suggest that certain network components serve as mechanical effectors for maintaining network integrity. This detailed understanding of cellulosomal network components may help in the development of biocatalysts for production of fuels and chemicals from renewable plant-derived biomass.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Portugal 2 2%
United States 1 <1%
Italy 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 27%
Researcher 24 21%
Student > Master 13 12%
Student > Bachelor 9 8%
Other 5 4%
Other 16 14%
Unknown 15 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 21%
Agricultural and Biological Sciences 23 21%
Chemistry 14 13%
Physics and Astronomy 13 12%
Chemical Engineering 7 6%
Other 16 14%
Unknown 15 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 04 November 2018.
All research outputs
#850,277
of 22,772,779 outputs
Outputs from Nature Communications
#14,014
of 46,907 outputs
Outputs of similar age
#12,120
of 360,800 outputs
Outputs of similar age from Nature Communications
#181
of 748 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 46,907 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.6. This one has gotten more attention than average, scoring higher than 70% 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 360,800 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 748 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.