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Synthetic Biology – Metabolic Engineering

Overview of attention for book
Attention for Chapter 37: Orthogonal Protein Translation Using Pyrrolysyl-tRNA Synthetases for Single- and Multiple-Noncanonical Amino Acid Mutagenesis
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Chapter title
Orthogonal Protein Translation Using Pyrrolysyl-tRNA Synthetases for Single- and Multiple-Noncanonical Amino Acid Mutagenesis
Chapter number 37
Book title
Synthetic Biology – Metabolic Engineering
Published in
Advances in biochemical engineering biotechnology, January 2016
DOI 10.1007/10_2016_37
Pubmed ID
Book ISBNs
978-3-31-955317-7, 978-3-31-955318-4
Authors

Tobias Baumann, Matthias Exner, Nediljko Budisa, Baumann, Tobias, Exner, Matthias, Budisa, Nediljko

Abstract

To date, the two systems most extensively used for noncanonical amino acid (ncAA) incorporation via orthogonal translation are based on the Methanococcus jannaschii TyrRS/tRNA CUA(Tyr) and the Methanosarcina barkeri/Methanosarcina mazei PylRS/tRNA CUA(Pyl) pairs. Here, we summarize the development and usage of the pyrrolysine-based system for orthogonal translation, a process that allows for the recombinant production of site-specifically labeled proteins and peptides. Via stop codon suppression in Escherichia coli and mammalian cells, genetically encoded biomolecules can be equipped with a great diversity of chemical functionalities including click chemistry handles, post-translational modifications, and photocaged sidechains.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Bachelor 4 14%
Researcher 3 11%
Student > Doctoral Student 2 7%
Student > Master 2 7%
Other 4 14%
Unknown 7 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 29%
Chemistry 6 21%
Agricultural and Biological Sciences 4 14%
Engineering 1 4%
Unknown 9 32%
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 18 April 2018.
All research outputs
#20,879,072
of 23,498,099 outputs
Outputs from Advances in biochemical engineering biotechnology
#180
of 222 outputs
Outputs of similar age
#333,690
of 396,908 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#20
of 23 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 222 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 396,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.