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GPCR structure, function, drug discovery and crystallography: report from Academia-Industry International Conference (UK Royal Society) Chicheley Hall, 1–2 September 2014

Overview of attention for article published in Naunyn-Schmiedeberg's Archives of Pharmacology, March 2015
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Title
GPCR structure, function, drug discovery and crystallography: report from Academia-Industry International Conference (UK Royal Society) Chicheley Hall, 1–2 September 2014
Published in
Naunyn-Schmiedeberg's Archives of Pharmacology, March 2015
DOI 10.1007/s00210-015-1111-8
Pubmed ID
Authors

Alexander Heifetz, Gebhard F. X. Schertler, Roland Seifert, Christopher G. Tate, Patrick M. Sexton, Vsevolod V. Gurevich, Daniel Fourmy, Vadim Cherezov, Fiona H. Marshall, R. Ian Storer, Isabel Moraes, Irina G. Tikhonova, Christofer S. Tautermann, Peter Hunt, Tom Ceska, Simon Hodgson, Mike J. Bodkin, Shweta Singh, Richard J. Law, Philip C. Biggin

Abstract

G-protein coupled receptors (GPCRs) are the targets of over half of all prescribed drugs today. The UniProt database has records for about 800 proteins classified as GPCRs, but drugs have only been developed against 50 of these. Thus, there is huge potential in terms of the number of targets for new therapies to be designed. Several breakthroughs in GPCRs biased pharmacology, structural biology, modelling and scoring have resulted in a resurgence of interest in GPCRs as drug targets. Therefore, an international conference, sponsored by the Royal Society, with world-renowned researchers from industry and academia was recently held to discuss recent progress and highlight key areas of future research needed to accelerate GPCR drug discovery. Several key points emerged. Firstly, structures for all three major classes of GPCRs have now been solved and there is increasing coverage across the GPCR phylogenetic tree. This is likely to be substantially enhanced with data from x-ray free electron sources as they move beyond proof of concept. Secondly, the concept of biased signalling or functional selectivity is likely to be prevalent in many GPCRs, and this presents exciting new opportunities for selectivity and the control of side effects, especially when combined with increasing data regarding allosteric modulation. Thirdly, there will almost certainly be some GPCRs that will remain difficult targets because they exhibit complex ligand dependencies and have many metastable states rendering them difficult to resolve by crystallographic methods. Subtle effects within the packing of the transmembrane helices are likely to mask and contribute to this aspect, which may play a role in species dependent behaviour. This is particularly important because it has ramifications for how we interpret pre-clinical data. In summary, collaborative efforts between industry and academia have delivered significant progress in terms of structure and understanding of GPCRs and will be essential for resolving problems associated with the more difficult targets in the future.

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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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Denmark 1 <1%
Unknown 125 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 18%
Student > Bachelor 22 17%
Researcher 19 15%
Student > Master 13 10%
Other 7 5%
Other 25 19%
Unknown 20 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 21%
Agricultural and Biological Sciences 21 16%
Chemistry 19 15%
Pharmacology, Toxicology and Pharmaceutical Science 13 10%
Medicine and Dentistry 9 7%
Other 17 13%
Unknown 23 18%
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 22 December 2015.
All research outputs
#14,218,903
of 22,794,367 outputs
Outputs from Naunyn-Schmiedeberg's Archives of Pharmacology
#1,303
of 1,724 outputs
Outputs of similar age
#138,072
of 261,657 outputs
Outputs of similar age from Naunyn-Schmiedeberg's Archives of Pharmacology
#8
of 16 outputs
Altmetric has tracked 22,794,367 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 1,724 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 23rd percentile – i.e., 23% 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 261,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 50% of its contemporaries.