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Stepwise enhancement of catalytic performance of haloalkane dehalogenase LinB towards β-hexachlorocyclohexane

Overview of attention for article published in AMB Express, September 2014
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Title
Stepwise enhancement of catalytic performance of haloalkane dehalogenase LinB towards β-hexachlorocyclohexane
Published in
AMB Express, September 2014
DOI 10.1186/s13568-014-0072-5
Pubmed ID
Authors

Ryota Moriuchi, Hiroki Tanaka, Yuki Nikawadori, Mayuko Ishitsuka, Michihiro Ito, Yoshiyuki Ohtsubo, Masataka Tsuda, Jiri Damborsky, Zbynek Prokop, Yuji Nagata

Abstract

Two haloalkane dehalogenases, LinBUT and LinBMI, each with 296 amino acid residues, exhibit only seven amino acid residue differences between them, but LinBMI's catalytic performance towards β-hexachlorocyclohexane (β-HCH) is considerably higher than LinBUT's. To elucidate the molecular basis governing this difference, intermediate mutants between LinBUT and LinBMI were constructed and kinetically characterized. The activities of LinBUT-based mutants gradually increased by cumulative mutations into LinBUT, and the effects of the individual amino acid substitutions depended on combination with other mutations. These results indicated that LinBUT's β-HCH degradation activity can be enhanced in a stepwise manner by the accumulation of point mutations.

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

Geographical breakdown

Country Count As %
China 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 32%
Student > Ph. D. Student 4 16%
Professor 3 12%
Student > Master 2 8%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 5 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 28%
Agricultural and Biological Sciences 6 24%
Chemistry 2 8%
Unspecified 1 4%
Unknown 9 36%
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 21 September 2014.
All research outputs
#20,237,640
of 22,764,165 outputs
Outputs from AMB Express
#966
of 1,232 outputs
Outputs of similar age
#209,851
of 251,167 outputs
Outputs of similar age from AMB Express
#15
of 22 outputs
Altmetric has tracked 22,764,165 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 1,232 research outputs from this source. They receive a mean Attention Score of 2.8. 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 251,167 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 22 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.