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A new generation of versatile chromogenic substrates for high-throughput analysis of biomass-degrading enzymes

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, April 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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1 X user
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3 patents

Citations

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54 Dimensions

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175 Mendeley
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Title
A new generation of versatile chromogenic substrates for high-throughput analysis of biomass-degrading enzymes
Published in
Biotechnology for Biofuels and Bioproducts, April 2015
DOI 10.1186/s13068-015-0250-y
Pubmed ID
Authors

Stjepan Krešimir Kračun, Julia Schückel, Bjørge Westereng, Lisbeth Garbrecht Thygesen, Rune Nygaard Monrad, Vincent G H Eijsink, William George Tycho Willats

Abstract

Enzymes that degrade or modify polysaccharides are widespread in pro- and eukaryotes and have multiple biological roles and biotechnological applications. Recent advances in genome and secretome sequencing, together with associated bioinformatic tools, have enabled large numbers of carbohydrate-acting enzymes to be putatively identified. However, there is a paucity of methods for rapidly screening the biochemical activities of these enzymes, and this is a serious bottleneck in the development of enzyme-reliant bio-refining processes. We have developed a new generation of multi-coloured chromogenic polysaccharide and protein substrates that can be used in cheap, convenient and high-throughput multiplexed assays. In addition, we have produced substrates of biomass materials in which the complexity of plant cell walls is partially maintained. We show that these substrates can be used to screen the activities of glycosyl hydrolases, lytic polysaccharide monooxygenases and proteases and provide insight into substrate availability within biomass. We envisage that the assays we have developed will be used primarily for first-level screening of large numbers of putative carbohydrate-acting enzymes, and the assays have the potential to be incorporated into fully or semi-automated robotic enzyme screening systems.

X Demographics

X Demographics

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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
United Kingdom 1 <1%
South Africa 1 <1%
Brazil 1 <1%
Unknown 171 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 26%
Researcher 36 21%
Student > Master 25 14%
Student > Bachelor 16 9%
Other 8 5%
Other 23 13%
Unknown 22 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 37%
Biochemistry, Genetics and Molecular Biology 44 25%
Chemistry 12 7%
Environmental Science 5 3%
Immunology and Microbiology 4 2%
Other 14 8%
Unknown 32 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 January 2022.
All research outputs
#7,355,930
of 25,374,647 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#482
of 1,578 outputs
Outputs of similar age
#82,148
of 279,912 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#10
of 32 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 66% 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 279,912 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.