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pH-Dependent Conformational Changes in Proteins and Their Effect on Experimental pKas: The Case of Nitrophorin 4

Overview of attention for article published in PLoS Computational Biology, November 2012
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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blogs
1 blog
twitter
1 X user
patent
3 patents
facebook
1 Facebook page
pinterest
1 Pinner

Citations

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113 Dimensions

Readers on

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246 Mendeley
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5 CiteULike
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Title
pH-Dependent Conformational Changes in Proteins and Their Effect on Experimental pKas: The Case of Nitrophorin 4
Published in
PLoS Computational Biology, November 2012
DOI 10.1371/journal.pcbi.1002761
Pubmed ID
Authors

Natali V. Di Russo, Dario A. Estrin, Marcelo A. Martí, Adrian E. Roitberg

Abstract

The acid-base behavior of amino acids is an important subject of study due to their prominent role in enzyme catalysis, substrate binding and protein structure. Due to interactions with the protein environment, their pK(a)s can be shifted from their solution values and, if a protein has two stable conformations, it is possible for a residue to have different "microscopic", conformation-dependent pK(a) values. In those cases, interpretation of experimental measurements of the pK(a) is complicated by the coupling between pH, protonation state and protein conformation. We explored these issues using Nitrophorin 4 (NP4), a protein that releases NO in a pH sensitive manner. At pH 5.5 NP4 is in a closed conformation where NO is tightly bound, while at pH 7.5 Asp30 becomes deprotonated, causing the conformation to change to an open state from which NO can easily escape. Using constant pH molecular dynamics we found two distinct microscopic Asp30 pK(a)s: 8.5 in the closed structure and 4.3 in the open structure. Using a four-state model, we then related the obtained microscopic values to the experimentally observed "apparent" pK(a), obtaining a value of 6.5, in excellent agreement with experimental data. This value must be interpreted as the pH at which the closed to open population transition takes place. More generally, our results show that it is possible to relate microscopic structure dependent pKa values to experimentally observed ensemble dependent apparent pK(a)s and that the insight gained in the relatively simple case of NP4 can be useful in several more complex cases involving a pH dependent transition, of great biochemical interest.

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

Geographical breakdown

Country Count As %
United States 7 3%
Portugal 3 1%
Bangladesh 1 <1%
Ireland 1 <1%
Chile 1 <1%
Argentina 1 <1%
Canada 1 <1%
Unknown 231 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 25%
Student > Bachelor 32 13%
Researcher 31 13%
Student > Master 26 11%
Student > Doctoral Student 13 5%
Other 27 11%
Unknown 55 22%
Readers by discipline Count As %
Chemistry 51 21%
Biochemistry, Genetics and Molecular Biology 47 19%
Agricultural and Biological Sciences 37 15%
Physics and Astronomy 12 5%
Engineering 10 4%
Other 27 11%
Unknown 62 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 January 2021.
All research outputs
#3,294,312
of 25,844,183 outputs
Outputs from PLoS Computational Biology
#2,864
of 9,053 outputs
Outputs of similar age
#23,687
of 203,281 outputs
Outputs of similar age from PLoS Computational Biology
#27
of 107 outputs
Altmetric has tracked 25,844,183 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has gotten more attention than average, scoring higher than 68% 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 203,281 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 88% of its contemporaries.
We're also able to compare this research output to 107 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 74% of its contemporaries.