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Fragment-Based Drug Discovery and X-Ray Crystallography

Overview of attention for book
Attention for Chapter 265: Targeting Protein-Protein Interactions and Fragment-Based Drug Discovery.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 148)
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

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32 Dimensions

Readers on

mendeley
47 Mendeley
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3 CiteULike
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Chapter title
Targeting Protein-Protein Interactions and Fragment-Based Drug Discovery.
Chapter number 265
Book title
Fragment-Based Drug Discovery and X-Ray Crystallography
Published in
Topics in current chemistry, October 2011
DOI 10.1007/128_2011_265
Pubmed ID
Book ISBNs
978-3-64-227539-5, 978-3-64-227540-1
Authors

Valkov E, Sharpe T, Marsh M, Greive S, Hyvönen M, Valkov, Eugene, Sharpe, Tim, Marsh, May, Greive, Sandra, Hyvönen, Marko, Eugene Valkov, Tim Sharpe, May Marsh, Sandra Greive, Marko Hyvönen

Editors

Thomas G. Davies, Marko Hyvönen

Abstract

Protein-protein interactions (PPI) are integral to the majority of biological functions. Targeting these interactions with small molecule inhibitors is of increased interest both in academia as well as in the pharmaceutical industry, both for therapeutic purposes and in the search for chemical tools for basic science. Although the number of well-characterised examples is still relatively modest, it is becoming apparent that many different kinds of interactions can be inhibited using drug-like small molecules. Compared to active site targeting, PPI inhibition suffers from the particular problem of more exposed and less defined binding sites, and this imposes significant experimental challenges to the development of PPI inhibitors. PPI interfaces are large, up to thousands of square angstroms, and there is still debate as to what part of the interface one should target. We will review recent developments in the field of PPI inhibition, with emphasis on fragment-based methods, and discuss various factors one should take into account when developing small molecule inhibitors targeted at PPI interfaces.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 4%
United Kingdom 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 10 21%
Student > Master 7 15%
Student > Postgraduate 2 4%
Professor > Associate Professor 2 4%
Other 5 11%
Unknown 10 21%
Readers by discipline Count As %
Chemistry 12 26%
Biochemistry, Genetics and Molecular Biology 11 23%
Agricultural and Biological Sciences 9 19%
Computer Science 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 1 2%
Unknown 9 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 March 2012.
All research outputs
#3,078,826
of 22,662,201 outputs
Outputs from Topics in current chemistry
#14
of 148 outputs
Outputs of similar age
#17,247
of 139,135 outputs
Outputs of similar age from Topics in current chemistry
#1
of 3 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 148 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 90% 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 139,135 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 87% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them