↓ Skip to main content

A coarse-grained model for synergistic action of multiple enzymes on cellulose

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, August 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
75 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A coarse-grained model for synergistic action of multiple enzymes on cellulose
Published in
Biotechnology for Biofuels and Bioproducts, August 2012
DOI 10.1186/1754-6834-5-55
Pubmed ID
Authors

Andrea Asztalos, Marcus Daniels, Anurag Sethi, Tongye Shen, Paul Langan, Antonio Redondo, Sandrasegaram Gnanakaran

Abstract

Degradation of cellulose to glucose requires the cooperative action of three classes of enzymes, collectively known as cellulases. Endoglucanases randomly bind to cellulose surfaces and generate new chain ends by hydrolyzing β-1,4-D-glycosidic bonds. Exoglucanases bind to free chain ends and hydrolyze glycosidic bonds in a processive manner releasing cellobiose units. Then, β-glucosidases hydrolyze soluble cellobiose to glucose. Optimal synergistic action of these enzymes is essential for efficient digestion of cellulose. Experiments show that as hydrolysis proceeds and the cellulose substrate becomes more heterogeneous, the overall degradation slows down. As catalysis occurs on the surface of crystalline cellulose, several factors affect the overall hydrolysis. Therefore, spatial models of cellulose degradation must capture effects such as enzyme crowding and surface heterogeneity, which have been shown to lead to a reduction in hydrolysis rates.

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

Geographical breakdown

Country Count As %
Germany 2 3%
Indonesia 1 1%
Italy 1 1%
Unknown 71 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Researcher 10 13%
Student > Master 9 12%
Student > Bachelor 9 12%
Professor 6 8%
Other 17 23%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 41%
Engineering 10 13%
Biochemistry, Genetics and Molecular Biology 5 7%
Physics and Astronomy 4 5%
Chemical Engineering 4 5%
Other 12 16%
Unknown 9 12%
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 01 August 2012.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#1,285
of 1,578 outputs
Outputs of similar age
#140,026
of 179,163 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#15
of 19 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 10th percentile – i.e., 10% 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 179,163 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.