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Binding sites for luminescent amyloid biomarkers from non-biased molecular dynamics simulations

Overview of attention for article published in Chemical Communications, January 2018
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Title
Binding sites for luminescent amyloid biomarkers from non-biased molecular dynamics simulations
Published in
Chemical Communications, January 2018
DOI 10.1039/c8cc00105g
Pubmed ID
Authors

Carolin König, Robin Skånberg, Ingrid Hotz, Anders Ynnerman, Patrick Norman, Mathieu Linares

Abstract

A very stable binding site for the interaction between a pentameric oligothiophene and an amyloid-β(1-42) fibril has been identified by means of non-biased molecular dynamics simulations. In this site, the probe is locked in an all-trans conformation with a Coulombic binding energy of 1200 kJ mol-1 due to the interactions between the anionic carboxyl groups of the probe and the cationic ε-amino groups in the lysine side chain. Upon binding, the conformationally restricted probes show a pronounced increase in molecular planarity. This is in line with the observed changes in luminescence properties that serve as the foundation for their use as biomarkers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Professor 3 20%
Student > Ph. D. Student 2 13%
Student > Master 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 4 27%
Readers by discipline Count As %
Chemistry 7 47%
Business, Management and Accounting 1 7%
Chemical Engineering 1 7%
Medicine and Dentistry 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 4 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 August 2018.
All research outputs
#14,377,572
of 23,025,074 outputs
Outputs from Chemical Communications
#13,701
of 21,460 outputs
Outputs of similar age
#240,513
of 442,363 outputs
Outputs of similar age from Chemical Communications
#652
of 1,421 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,460 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 34th percentile – i.e., 34% 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 442,363 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,421 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.