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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
5 tweeters
googleplus
1 Google+ user

Readers on

mendeley
6 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 R. Quintana, Gemma Arsequell, Jesus Jimenez-Barbero, Jordi Quintana, 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.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 67%
Student > Postgraduate 1 17%
Student > Ph. D. Student 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 67%
Agricultural and Biological Sciences 1 17%
Chemistry 1 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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
#727,016
of 8,869,816 outputs
Outputs from Journal of Medicinal Chemistry
#212
of 4,208 outputs
Outputs of similar age
#34,413
of 257,259 outputs
Outputs of similar age from Journal of Medicinal Chemistry
#5
of 76 outputs
Altmetric has tracked 8,869,816 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,208 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 94% 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 257,259 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 86% of its contemporaries.
We're also able to compare this research output to 76 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 93% of its contemporaries.