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Quantitative modeling of selective lysosomal targeting for drug design

Overview of attention for article published in European Biophysics Journal, May 2008
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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 (#49 of 500)
  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

patent
2 patents
wikipedia
1 Wikipedia page

Citations

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125 Dimensions

Readers on

mendeley
105 Mendeley
citeulike
2 CiteULike
Title
Quantitative modeling of selective lysosomal targeting for drug design
Published in
European Biophysics Journal, May 2008
DOI 10.1007/s00249-008-0338-4
Pubmed ID
Authors

Stefan Trapp, Gus R. Rosania, Richard W. Horobin, Johannes Kornhuber

Abstract

Lysosomes are acidic organelles and are involved in various diseases, the most prominent is malaria. Accumulation of molecules in the cell by diffusion from the external solution into cytosol, lysosome and mitochondrium was calculated with the Fick-Nernst-Planck equation. The cell model considers the diffusion of neutral and ionic molecules across biomembranes, protonation to mono- or bivalent ions, adsorption to lipids, and electrical attraction or repulsion. Based on simulation results, high and selective accumulation in lysosomes was found for weak mono- and bivalent bases with intermediate to high log K (ow). These findings were validated with experimental results and by a comparison to the properties of antimalarial drugs in clinical use. For ten active compounds, nine were predicted to accumulate to a greater extent in lysosomes than in other organelles, six of these were in the optimum range predicted by the model and three were close. Five of the antimalarial drugs were lipophilic weak dibasic compounds. The predicted optimum properties for a selective accumulation of weak bivalent bases in lysosomes are consistent with experimental values and are more accurate than any prior calculation. This demonstrates that the cell model can be a useful tool for the design of effective lysosome-targeting drugs with minimal off-target interactions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Italy 1 <1%
Unknown 102 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 29%
Student > Ph. D. Student 23 22%
Student > Master 11 10%
Other 8 8%
Student > Bachelor 4 4%
Other 9 9%
Unknown 20 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 20%
Pharmacology, Toxicology and Pharmaceutical Science 19 18%
Chemistry 16 15%
Medicine and Dentistry 6 6%
Engineering 5 5%
Other 15 14%
Unknown 23 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 17 March 2022.
All research outputs
#4,845,172
of 23,347,114 outputs
Outputs from European Biophysics Journal
#49
of 500 outputs
Outputs of similar age
#16,217
of 84,181 outputs
Outputs of similar age from European Biophysics Journal
#1
of 4 outputs
Altmetric has tracked 23,347,114 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 500 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 85% 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 84,181 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 4 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