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Modeling the pharmacodynamics of passive membrane permeability

Overview of attention for article published in Perspectives in Drug Discovery and Design, November 2011
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

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20 Dimensions

Readers on

mendeley
32 Mendeley
citeulike
1 CiteULike
Title
Modeling the pharmacodynamics of passive membrane permeability
Published in
Perspectives in Drug Discovery and Design, November 2011
DOI 10.1007/s10822-011-9480-7
Pubmed ID
Authors

Robert V. Swift, Rommie E. Amaro

Abstract

Small molecule permeability through cellular membranes is critical to a better understanding of pharmacodynamics and the drug discovery endeavor. Such permeability may be estimated as a function of the free energy change of barrier crossing by invoking the barrier domain model, which posits that permeation is limited by passage through a single "barrier domain" and assumes diffusivity differences among compounds of similar structure are negligible. Inspired by the work of Rezai and co-workers (JACS 128:14073-14080, 2006), we estimate this free energy change as the difference in implicit solvation free energies in chloroform and water, but extend their model to include solute conformational affects. Using a set of eleven structurally diverse FDA approved compounds and a set of thirteen congeneric molecules, we show that the solvation free energies are dominated by the global minima, which allows solute conformational distributions to be effectively neglected. For the set of tested compounds, the best correlation with experiment is obtained when the implicit chloroform global minimum is used to evaluate the solvation free energy difference.

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

Geographical breakdown

Country Count As %
United States 1 3%
China 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 44%
Student > Ph. D. Student 4 13%
Professor 3 9%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Other 3 9%
Unknown 4 13%
Readers by discipline Count As %
Chemistry 12 38%
Biochemistry, Genetics and Molecular Biology 4 13%
Agricultural and Biological Sciences 4 13%
Computer Science 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 9%
Unknown 5 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 November 2012.
All research outputs
#3,016,976
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#90
of 949 outputs
Outputs of similar age
#16,111
of 153,980 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#3
of 15 outputs
Altmetric has tracked 25,457,858 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 949 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 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 153,980 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 89% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.