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Structural basis for bifunctional peptide recognition at human δ-opioid receptor

Overview of attention for article published in Nature Structural & Molecular Biology, February 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
11 news outlets
blogs
2 blogs
twitter
9 X users
patent
1 patent
facebook
3 Facebook pages

Citations

dimensions_citation
151 Dimensions

Readers on

mendeley
188 Mendeley
citeulike
1 CiteULike
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Title
Structural basis for bifunctional peptide recognition at human δ-opioid receptor
Published in
Nature Structural & Molecular Biology, February 2015
DOI 10.1038/nsmb.2965
Pubmed ID
Authors

Gustavo Fenalti, Nadia A Zatsepin, Cecilia Betti, Patrick Giguere, Gye Won Han, Andrii Ishchenko, Wei Liu, Karel Guillemyn, Haitao Zhang, Daniel James, Dingjie Wang, Uwe Weierstall, John C H Spence, Sébastien Boutet, Marc Messerschmidt, Garth J Williams, Cornelius Gati, Oleksandr M Yefanov, Thomas A White, Dominik Oberthuer, Markus Metz, Chun Hong Yoon, Anton Barty, Henry N Chapman, Shibom Basu, Jesse Coe, Chelsie E Conrad, Raimund Fromme, Petra Fromme, Dirk Tourwé, Peter W Schiller, Bryan L Roth, Steven Ballet, Vsevolod Katritch, Raymond C Stevens, Vadim Cherezov

Abstract

Bifunctional μ- and δ-opioid receptor (OR) ligands are potential therapeutic alternatives, with diminished side effects, to alkaloid opiate analgesics. We solved the structure of human δ-OR bound to the bifunctional δ-OR antagonist and μ-OR agonist tetrapeptide H-Dmt-Tic-Phe-Phe-NH2 (DIPP-NH2) by serial femtosecond crystallography, revealing a cis-peptide bond between H-Dmt and Tic. The observed receptor-peptide interactions are critical for understanding of the pharmacological profiles of opioid peptides and for development of improved analgesics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Denmark 1 <1%
Canada 1 <1%
Unknown 184 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 26%
Researcher 46 24%
Student > Bachelor 17 9%
Student > Master 15 8%
Professor > Associate Professor 11 6%
Other 27 14%
Unknown 23 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 25%
Agricultural and Biological Sciences 34 18%
Chemistry 32 17%
Pharmacology, Toxicology and Pharmaceutical Science 14 7%
Physics and Astronomy 8 4%
Other 22 12%
Unknown 31 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 15 September 2020.
All research outputs
#442,328
of 25,374,917 outputs
Outputs from Nature Structural & Molecular Biology
#101
of 4,186 outputs
Outputs of similar age
#5,142
of 271,287 outputs
Outputs of similar age from Nature Structural & Molecular Biology
#3
of 51 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done particularly well, scoring higher than 97% 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 271,287 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 51 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 94% of its contemporaries.