↓ Skip to main content

Creation of Artificial Luciferases for Bioassays

Overview of attention for article published in Bioconjugate Chemistry, November 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
1 X user
patent
3 patents

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
34 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
Creation of Artificial Luciferases for Bioassays
Published in
Bioconjugate Chemistry, November 2013
DOI 10.1021/bc400411h
Pubmed ID
Authors

Sung Bae Kim, Masaki Torimura, Hiroaki Tao

Abstract

The present study demonstrates the creation of artificial luciferases (ALuc) for bioassays, inspired by a sequence alignment of copepod luciferases. Extraction of the consensus amino acids from the alignment enabled us to generate a series of ALucs with unique optical properties and sequential identities that are clearly different from those of any existing copepod luciferase. For example, some ALucs exhibited heat stability, dramatically prolonged optical intensities, broad full width at half-maximum, and strong optical intensities. The practical suitability of the luciferases as an optical readout was examined in diverse bioassays, including mammalian two-hybrid assays, live cell imaging, single-chain probes, bioluminescent capsules, and bioluminescent antibodies. We further determine the physical properties of ALucs through bioinformatic analysis and finally discuss detailed issues on the unique properties of ALucs. The present study shows how to create the artificial enzymes with excellent optical properties for bioassays and encourages researchers to fabricate their own unique artificial enzymes with designed properties and functionalities.

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

Geographical breakdown

Country Count As %
Czechia 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 32%
Student > Bachelor 6 18%
Student > Ph. D. Student 6 18%
Professor > Associate Professor 4 12%
Student > Master 3 9%
Other 3 9%
Unknown 1 3%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 41%
Agricultural and Biological Sciences 11 32%
Chemistry 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Chemical Engineering 1 3%
Other 2 6%
Unknown 1 3%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 November 2023.
All research outputs
#5,321,537
of 25,692,343 outputs
Outputs from Bioconjugate Chemistry
#1,169
of 4,846 outputs
Outputs of similar age
#57,825
of 321,741 outputs
Outputs of similar age from Bioconjugate Chemistry
#5
of 38 outputs
Altmetric has tracked 25,692,343 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,846 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 75% 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 321,741 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.