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Dispensing Processes Impact Apparent Biological Activity as Determined by Computational and Statistical Analyses

Overview of attention for article published in PLOS ONE, May 2013
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  • 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 (97th percentile)

Citations

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41 Dimensions

Readers on

mendeley
120 Mendeley
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4 CiteULike
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Title
Dispensing Processes Impact Apparent Biological Activity as Determined by Computational and Statistical Analyses
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0062325
Pubmed ID
Authors

Sean Ekins, Joe Olechno, Antony J. Williams

Abstract

Dispensing and dilution processes may profoundly influence estimates of biological activity of compounds. Published data show Ephrin type-B receptor 4 IC50 values obtained via tip-based serial dilution and dispensing versus acoustic dispensing with direct dilution differ by orders of magnitude with no correlation or ranking of datasets. We generated computational 3D pharmacophores based on data derived by both acoustic and tip-based transfer. The computed pharmacophores differ significantly depending upon dispensing and dilution methods. The acoustic dispensing-derived pharmacophore correctly identified active compounds in a subsequent test set where the tip-based method failed. Data from acoustic dispensing generates a pharmacophore containing two hydrophobic features, one hydrogen bond donor and one hydrogen bond acceptor. This is consistent with X-ray crystallography studies of ligand-protein interactions and automatically generated pharmacophores derived from this structural data. In contrast, the tip-based data suggest a pharmacophore with two hydrogen bond acceptors, one hydrogen bond donor and no hydrophobic features. This pharmacophore is inconsistent with the X-ray crystallographic studies and automatically generated pharmacophores. In short, traditional dispensing processes are another important source of error in high-throughput screening that impacts computational and statistical analyses. These findings have far-reaching implications in biological research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Brazil 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Belgium 1 <1%
Canada 1 <1%
Spain 1 <1%
China 1 <1%
Unknown 109 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 28%
Other 24 20%
Student > Ph. D. Student 21 18%
Student > Master 11 9%
Student > Postgraduate 5 4%
Other 16 13%
Unknown 9 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 27%
Chemistry 31 26%
Biochemistry, Genetics and Molecular Biology 12 10%
Medicine and Dentistry 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 8 7%
Other 16 13%
Unknown 13 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 90. 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 08 September 2017.
All research outputs
#486,759
of 25,914,360 outputs
Outputs from PLOS ONE
#6,727
of 226,134 outputs
Outputs of similar age
#3,271
of 205,745 outputs
Outputs of similar age from PLOS ONE
#136
of 4,963 outputs
Altmetric has tracked 25,914,360 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 226,134 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. 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 205,745 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 4,963 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 97% of its contemporaries.