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Insights on the Interaction between Transthyretin and Aβ in Solution. A Saturation Transfer Difference (STD) NMR Analysis of the Role of Iododiflunisal

Overview of attention for article published in Journal of Medicinal Chemistry, June 2017
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 news outlet
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4 X users
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1 Google+ user

Citations

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24 Dimensions

Readers on

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53 Mendeley
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Title
Insights on the Interaction between Transthyretin and Aβ in Solution. A Saturation Transfer Difference (STD) NMR Analysis of the Role of Iododiflunisal
Published in
Journal of Medicinal Chemistry, June 2017
DOI 10.1021/acs.jmedchem.7b00428
Pubmed ID
Authors

Ana Gimeno, Luis M. Santos, Mobina Alemi, Josep Rivas, Daniel Blasi, Ellen Y. Cotrina, Jordi Llop, Gregorio Valencia, Isabel Cardoso, Jordi Quintana, Gemma Arsequell, Jesús Jiménez-Barbero

Abstract

Several strategies against Alzheimer Disease (AD) are directed to target Aβ-peptides. The ability of transthyretin (TTR) to bind Aβ-peptides and the positive effect exerted by some TTR stabilizers for modulating the TTR-Aβ interaction have been previously studied. Herein, key structural features of the interaction between TTR and the Aβ(12-28) peptide (3), the essential recognition element of Aβ, have been unravelled by STD-NMR spectroscopy methods in solution. Molecular aspects related with the role of the TTR stabilizer iododiflunisal (IDIF, 5) on the TTR-Aβ complex have been also examined. The NMR results, assisted by molecular modeling protocols, have provided a structural model for the TTR-Aβ interaction, as well as for the ternary complex formed in the presence of IDIF. This basic structural information could be relevant for providing light on the mechanisms involved in the ameliorating effects of AD symptoms observed in AD/TTR(+/-) animal models after IDIF treatment and eventually for designing new molecules towards AD therapeutic drugs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 21%
Student > Ph. D. Student 8 15%
Student > Master 5 9%
Student > Bachelor 3 6%
Professor > Associate Professor 3 6%
Other 10 19%
Unknown 13 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 25%
Chemistry 11 21%
Neuroscience 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Agricultural and Biological Sciences 2 4%
Other 5 9%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 12 July 2017.
All research outputs
#2,347,405
of 22,979,862 outputs
Outputs from Journal of Medicinal Chemistry
#1,544
of 22,130 outputs
Outputs of similar age
#43,374
of 291,508 outputs
Outputs of similar age from Journal of Medicinal Chemistry
#20
of 131 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,130 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 93% 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 291,508 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 85% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.