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Global Analysis of Small Molecule Binding to Related Protein Targets

Overview of attention for article published in PLoS Computational Biology, January 2012
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
googleplus
1 Google+ user
f1000
1 research highlight platform

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
106 Mendeley
citeulike
18 CiteULike
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Title
Global Analysis of Small Molecule Binding to Related Protein Targets
Published in
PLoS Computational Biology, January 2012
DOI 10.1371/journal.pcbi.1002333
Pubmed ID
Authors

Felix A. Kruger, John P. Overington

Abstract

We report on the integration of pharmacological data and homology information for a large scale analysis of small molecule binding to related targets. Differences in small molecule binding have been assessed for curated pairs of human to rat orthologs and also for recently diverged human paralogs. Our analysis shows that in general, small molecule binding is conserved for pairs of human to rat orthologs. Using statistical tests, we identified a small number of cases where small molecule binding is different between human and rat, some of which had previously been reported in the literature. Knowledge of species specific pharmacology can be advantageous for drug discovery, where rats are frequently used as a model system. For human paralogs, we demonstrate a global correlation between sequence identity and the binding of small molecules with equivalent affinity. Our findings provide an initial general model relating small molecule binding and sequence divergence, containing the foundations for a general model to anticipate and predict within-target-family selectivity.

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

Geographical breakdown

Country Count As %
United Kingdom 5 5%
United States 5 5%
Germany 2 2%
Israel 1 <1%
Denmark 1 <1%
Portugal 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 89 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 39%
Student > Ph. D. Student 21 20%
Student > Bachelor 9 8%
Student > Master 8 8%
Other 8 8%
Other 17 16%
Unknown 2 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 35%
Biochemistry, Genetics and Molecular Biology 19 18%
Chemistry 17 16%
Computer Science 9 8%
Pharmacology, Toxicology and Pharmaceutical Science 6 6%
Other 10 9%
Unknown 8 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 December 2012.
All research outputs
#2,852,117
of 25,754,670 outputs
Outputs from PLoS Computational Biology
#2,523
of 9,032 outputs
Outputs of similar age
#21,034
of 250,764 outputs
Outputs of similar age from PLoS Computational Biology
#16
of 123 outputs
Altmetric has tracked 25,754,670 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has gotten more attention than average, scoring higher than 72% 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 250,764 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 91% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.