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Let’s not forget tautomers

Overview of attention for article published in Perspectives in Drug Discovery and Design, October 2009
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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)

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1 blog
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3 X users

Citations

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195 Dimensions

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203 Mendeley
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3 CiteULike
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1 Connotea
Title
Let’s not forget tautomers
Published in
Perspectives in Drug Discovery and Design, October 2009
DOI 10.1007/s10822-009-9303-2
Pubmed ID
Authors

Yvonne Connolly Martin

Abstract

A compound exhibits tautomerism if it can be represented by two structures that are related by an intramolecular movement of hydrogen from one atom to another. The different tautomers of a molecule usually have different molecular fingerprints, hydrophobicities and pKa's as well as different 3D shape and electrostatic properties; additionally, proteins frequently preferentially bind a tautomer that is present in low abundance in water. As a result, the proper treatment of molecules that can tautomerize, approximately 25% of a database, is a challenge for every aspect of computer-aided molecular design. Library design that focuses on molecular similarity or diversity might inadvertently include similar molecules that happen to be encoded as different tautomers. Physical property measurements might not establish the properties of individual tautomers with the result that algorithms based on these measurements may be less accurate for molecules that can tautomerize-this problem influences the accuracy of filtering for library design and also traditional QSAR. Any 2D or 3D QSAR analysis must involve the decision of if or how to adjust the observed Ki or IC50 for the tautomerization equilibria. QSARs and recursive partitioning methods also involve the decision as to which tautomer(s) to use to calculate the molecular descriptors. Docking virtual screening must involve the decision as to which tautomers to include in the docking and how to account for tautomerization in the scoring. All of these decisions are more difficult because there is no extensive database of measured tautomeric ratios in both water and non-aqueous solvents and there is no consensus as to the best computational method to calculate tautomeric ratios in different environments.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 3 1%
United Kingdom 3 1%
Bulgaria 2 <1%
Brazil 2 <1%
Pakistan 1 <1%
India 1 <1%
Spain 1 <1%
Russia 1 <1%
Other 0 0%
Unknown 185 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 58 29%
Student > Ph. D. Student 37 18%
Student > Master 18 9%
Other 11 5%
Professor > Associate Professor 11 5%
Other 40 20%
Unknown 28 14%
Readers by discipline Count As %
Chemistry 89 44%
Agricultural and Biological Sciences 22 11%
Biochemistry, Genetics and Molecular Biology 14 7%
Computer Science 13 6%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Other 23 11%
Unknown 35 17%
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 12 July 2017.
All research outputs
#2,789,192
of 25,576,801 outputs
Outputs from Perspectives in Drug Discovery and Design
#77
of 951 outputs
Outputs of similar age
#9,526
of 107,838 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#1
of 3 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 951 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 91% 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 107,838 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 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