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Increased Diels-Alderase activity through backbone remodeling guided by Foldit players

Overview of attention for article published in Nature Biotechnology, January 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
10 news outlets
blogs
15 blogs
twitter
22 X users
patent
2 patents
weibo
1 weibo user
wikipedia
7 Wikipedia pages
reddit
1 Redditor

Citations

dimensions_citation
240 Dimensions

Readers on

mendeley
477 Mendeley
citeulike
2 CiteULike
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Title
Increased Diels-Alderase activity through backbone remodeling guided by Foldit players
Published in
Nature Biotechnology, January 2012
DOI 10.1038/nbt.2109
Pubmed ID
Authors

Christopher B Eiben, Justin B Siegel, Jacob B Bale, Seth Cooper, Firas Khatib, Betty W Shen, Foldit Players, Barry L Stoddard, Zoran Popovic, David Baker

Abstract

Computational enzyme design holds promise for the production of renewable fuels, drugs and chemicals. De novo enzyme design has generated catalysts for several reactions, but with lower catalytic efficiencies than naturally occurring enzymes. Here we report the use of game-driven crowdsourcing to enhance the activity of a computationally designed enzyme through the functional remodeling of its structure. Players of the online game Foldit were challenged to remodel the backbone of a computationally designed bimolecular Diels-Alderase to enable additional interactions with substrates. Several iterations of design and characterization generated a 24-residue helix-turn-helix motif, including a 13-residue insertion, that increased enzyme activity >18-fold. X-ray crystallography showed that the large insertion adopts a helix-turn-helix structure positioned as in the Foldit model. These results demonstrate that human creativity can extend beyond the macroscopic challenges encountered in everyday life to molecular-scale design problems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 477 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 5%
United Kingdom 10 2%
Germany 6 1%
Brazil 3 <1%
Canada 3 <1%
Australia 2 <1%
Argentina 2 <1%
Netherlands 1 <1%
Kenya 1 <1%
Other 7 1%
Unknown 418 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 129 27%
Researcher 102 21%
Student > Bachelor 52 11%
Student > Master 47 10%
Professor > Associate Professor 22 5%
Other 77 16%
Unknown 48 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 132 28%
Chemistry 75 16%
Biochemistry, Genetics and Molecular Biology 72 15%
Computer Science 44 9%
Engineering 24 5%
Other 71 15%
Unknown 59 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 208. 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 19 September 2023.
All research outputs
#185,334
of 25,197,939 outputs
Outputs from Nature Biotechnology
#376
of 8,761 outputs
Outputs of similar age
#905
of 258,175 outputs
Outputs of similar age from Nature Biotechnology
#2
of 128 outputs
Altmetric has tracked 25,197,939 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,761 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done particularly well, scoring higher than 95% 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 258,175 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.