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Effects of Macromolecular Crowding on Protein Conformational Changes

Overview of attention for article published in PLoS Computational Biology, July 2010
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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blogs
1 blog

Citations

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90 Dimensions

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149 Mendeley
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7 CiteULike
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Title
Effects of Macromolecular Crowding on Protein Conformational Changes
Published in
PLoS Computational Biology, July 2010
DOI 10.1371/journal.pcbi.1000833
Pubmed ID
Authors

Hao Dong, Sanbo Qin, Huan-Xiang Zhou

Abstract

Many protein functions can be directly linked to conformational changes. Inside cells, the equilibria and transition rates between different conformations may be affected by macromolecular crowding. We have recently developed a new approach for modeling crowding effects, which enables an atomistic representation of "test" proteins. Here this approach is applied to study how crowding affects the equilibria and transition rates between open and closed conformations of seven proteins: yeast protein disulfide isomerase (yPDI), adenylate kinase (AdK), orotidine phosphate decarboxylase (ODCase), Trp repressor (TrpR), hemoglobin, DNA beta-glucosyltransferase, and Ap(4)A hydrolase. For each protein, molecular dynamics simulations of the open and closed states are separately run. Representative open and closed conformations are then used to calculate the crowding-induced changes in chemical potential for the two states. The difference in chemical-potential change between the two states finally predicts the effects of crowding on the population ratio of the two states. Crowding is found to reduce the open population to various extents. In the presence of crowders with a 15 A radius and occupying 35% of volume, the open-to-closed population ratios of yPDI, AdK, ODCase and TrpR are reduced by 79%, 78%, 62% and 55%, respectively. The reductions for the remaining three proteins are 20-44%. As expected, the four proteins experiencing the stronger crowding effects are those with larger conformational changes between open and closed states (e.g., as measured by the change in radius of gyration). Larger proteins also tend to experience stronger crowding effects than smaller ones [e.g., comparing yPDI (480 residues) and TrpR (98 residues)]. The potentials of mean force along the open-closed reaction coordinate of apo and ligand-bound ODCase are altered by crowding, suggesting that transition rates are also affected. These quantitative results and qualitative trends will serve as valuable guides for expected crowding effects on protein conformation changes inside cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 1%
United States 2 1%
Portugal 1 <1%
Brazil 1 <1%
India 1 <1%
Israel 1 <1%
China 1 <1%
United Kingdom 1 <1%
Unknown 139 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 32%
Researcher 27 18%
Student > Master 14 9%
Professor > Associate Professor 11 7%
Professor 9 6%
Other 23 15%
Unknown 17 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 29%
Biochemistry, Genetics and Molecular Biology 29 19%
Chemistry 23 15%
Physics and Astronomy 11 7%
Engineering 8 5%
Other 15 10%
Unknown 20 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 December 2011.
All research outputs
#4,150,408
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#3,391
of 8,960 outputs
Outputs of similar age
#17,245
of 103,849 outputs
Outputs of similar age from PLoS Computational Biology
#19
of 51 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 62% 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 103,849 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 83% of its contemporaries.
We're also able to compare this research output to 51 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 62% of its contemporaries.