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Engineering Tocopherol Selectivity in α-TTP: A Combined In Vitro/In Silico Study

Overview of attention for article published in PLOS ONE, November 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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2 patents
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1 Facebook page

Citations

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10 Dimensions

Readers on

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24 Mendeley
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Title
Engineering Tocopherol Selectivity in α-TTP: A Combined In Vitro/In Silico Study
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049195
Pubmed ID
Authors

Rachel E. Helbling, Walter Aeschimann, Fabio Simona, Achim Stocker, Michele Cascella

Abstract

We present a combined in vitro/in silico study to determine the molecular origin of the selectivity of [Formula: see text]-tocopherol transfer protein ([Formula: see text]-TTP) towards [Formula: see text]-tocopherol. Molecular dynamics simulations combined to free energy perturbation calculations predict a binding free energy for [Formula: see text]-tocopherol to [Formula: see text]-TTP 8.26[Formula: see text]2.13 kcal mol[Formula: see text] lower than that of [Formula: see text]-tocopherol. Our calculations show that [Formula: see text]-tocopherol binds to [Formula: see text]-TTP in a significantly distorted geometry as compared to that of the natural ligand. Variations in the hydration of the binding pocket and in the protein structure are found as well. We propose a mutation, A156L, which significantly modifies the selectivity properties of [Formula: see text]-TTP towards the two tocopherols. In particular, our simulations predict that A156L binds preferentially to [Formula: see text]-tocopherol, with striking structural similarities to the wild-type-[Formula: see text]-tocopherol complex. The affinity properties are confirmed by differential scanning fluorimetry as well as in vitro competitive binding assays. Our data indicate that residue A156 is at a critical position for determination of the selectivity of [Formula: see text]-TTP. The engineering of TTP mutants with modulating binding properties can have potential impact at industrial level for easier purification of single tocopherols from vitamin E mixtures coming from natural oils or synthetic processes. Moreover, the identification of a [Formula: see text]-tocopherol selective TTP offers the possibility to challenge the hypotheses for the evolutionary development of a mechanism for [Formula: see text]-tocopherol selection in omnivorous animals.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Ph. D. Student 4 17%
Professor 3 13%
Professor > Associate Professor 3 13%
Student > Bachelor 2 8%
Other 6 25%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 29%
Biochemistry, Genetics and Molecular Biology 7 29%
Chemistry 5 21%
Chemical Engineering 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 2 8%
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 11 January 2022.
All research outputs
#4,613,957
of 22,851,489 outputs
Outputs from PLOS ONE
#63,412
of 194,932 outputs
Outputs of similar age
#34,186
of 179,307 outputs
Outputs of similar age from PLOS ONE
#1,046
of 4,730 outputs
Altmetric has tracked 22,851,489 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 194,932 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 67% 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 179,307 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 80% of its contemporaries.
We're also able to compare this research output to 4,730 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.