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Attention for Chapter: Methods for Discovery of Novel Cellulosomal Cellulases Using Genomics and Biochemical Tools
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Chapter title
Methods for Discovery of Novel Cellulosomal Cellulases Using Genomics and Biochemical Tools
Book title
Cellulases
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7877-9_6
Pubmed ID
Book ISBNs
978-1-4939-7876-2, 978-1-4939-7877-9
Authors

Yonit Ben-David, Bareket Dassa, Lizi Bensoussan, Edward A. Bayer, Sarah Moraïs

Abstract

Cell wall degradation by cellulases is extensively explored owing to its potential contribution to biofuel production. The cellulosome is an extracellular multienzyme complex that can degrade the plant cell wall very efficiently, and cellulosomal enzymes are therefore of great interest. The cellulosomal cellulases are defined as enzymes that contain a dockerin module, which can interact with a cohesin module contained in multiple copies in a noncatalytic protein, termed scaffoldin. The assembly of the cellulosomal cellulases into the cellulosomal complex occurs via specific protein-protein interactions. Cellulosome systems have been described initially only in several anaerobic cellulolytic bacteria. However, owing to ongoing genome sequencing and metagenomic projects, the discovery of novel cellulosome-producing bacteria and the description of their cellulosomal genes have dramatically increased in the recent years. In this chapter, methods for discovery of novel cellulosomal cellulases from a DNA sequence by bioinformatics and biochemical tools are described. Their biochemical characterization is also described, including both the enzymatic activity of the putative cellulases and their assembly into mature designer cellulosomes.

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The data shown below were collected from the profiles of 2 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Doctoral Student 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 100%
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 02 June 2018.
All research outputs
#18,635,458
of 23,085,832 outputs
Outputs from Methods in molecular biology
#7,986
of 13,205 outputs
Outputs of similar age
#330,831
of 442,605 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,085,832 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 13,205 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 442,605 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 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.