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Computer simulation of protein-protein association kinetics: acetylcholinesterase-fasciculin11Edited by B. Honig

Overview of attention for article published in Journal of Molecular Biology, September 1999
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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blogs
1 blog

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mendeley
127 Mendeley
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7 CiteULike
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Article details
Title
Computer simulation of protein-protein association kinetics: acetylcholinesterase-fasciculin11Edited by B. Honig
Published in
Journal of Molecular Biology, September 1999
DOI 10.1006/jmbi.1999.2919
Pubmed ID
Authors
Abstract

Computer simulations were performed to investigate the role of electrostatic interactions in promoting fast association of acetylcholinesterase with its peptidic inhibitor, the neurotoxin fasciculin. The encounter of the two macromolecules was simulated with the technique of Brownian dynamics (BD), using atomically detailed structures, and association rate constants were calculated for the wild-type and a number of mutant proteins. In a first set of simulations, the ordering of the experimental rate constants for the mutant proteins was correctly reproduced, although the absolute values of the rate constants were overestimated by a factor of around 30. Rigorous calculations of the full electrostatic interaction energy between the two proteins indicate that this overestimation of association rates results at least in part from approximations made in the description of interaction energetics in the BD simulations. In particular, the initial BD simulations neglect the unfavourable electrostatic desolvation effects that result from the exclusion of high dielectric solvent that accompanies the approach of the two low dielectric proteins. This electrostatic desolvation component is so large that the overall contribution of electrostatics to the binding energy of the complex is unlikely to be strongly favourable. Nevertheless, electrostatic interactions are still responsible for increased association rates, because even if they are unfavourable in the fully formed complex, they are still favourable at intermediate protein-protein separation distances. It therefore appears possible for electrostatic interactions to promote the kinetics of binding even if they do not make a strongly favourable contribution to the thermodynamics of binding. When an approximate description of these electrostatic desolvation effects is included in a second set of BD simulations, the relative ordering of the mutant proteins is again correctly reproduced, but now association rate constants that are much closer in magnitude to the experimental values are obtained. Inclusion of electrostatic desolvation effects also improves reproduction of the experimental ionic strength dependence of the wild-type association rate.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 3%
Norway 2 2%
United Kingdom 2 2%
Germany 2 2%
Turkey 1 <1%
Italy 1 <1%
Austria 1 <1%
Unknown 114 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 33 26%
Student > Ph. D. Student 25 20%
Professor > Associate Professor 16 13%
Professor 10 8%
Student > Master 9 7%
Other 20 16%
Unknown 14 11%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 39 31%
Chemistry 30 24%
Physics and Astronomy 15 12%
Biochemistry, Genetics and Molecular Biology 13 10%
Engineering 6 5%
Other 9 7%
Unknown 15 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 March 2021.
All research outputs
#7,605,073
of 28,841,988 outputs
Outputs from Journal of Molecular Biology
#4,385
of 12,430 outputs
Outputs of similar age
#12,931
of 40,873 outputs
Outputs of similar age from Journal of Molecular Biology
#44
of 98 outputs
Altmetric has tracked 28,841,988 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 12,430 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 63% 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 40,873 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 67% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.