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A Novel View of pH Titration in Biomolecules †

Overview of attention for article published in Biochemistry, March 2001
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

patent
4 patents
wikipedia
5 Wikipedia pages

Readers on

mendeley
209 Mendeley
citeulike
2 CiteULike
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Article details
Title
A Novel View of pH Titration in Biomolecules †
Published in
Biochemistry, March 2001
DOI 10.1021/bi002740q
Pubmed ID
Authors
Abstract

When individual titratable sites in a molecule interact with each other, their pH titration can be considerably more complex than that of an independent site described by the classical Henderson-Hasselbalch equation. We propose a novel framework that decomposes any complex titration behavior into simple standard components. The approach maps the set of N interacting sites in the molecule onto a set of N independent, noninteracting quasi-sites, each characterized by a pK'(a) value. The titration curve of an individual site in the molecule is a weighted sum of Henderson-Hasselbalch curves corresponding to the quasi-sites. The total protonation curve is the unweighted sum of these Henderson-Hasselbalch curves. We show that pK'(a) values correspond to deprotonation constants available from methods that can be used to assess total proton uptake or release, and establish their connection to protonation curves of individual residues obtained by NMR or infrared spectroscopy. The new framework is tested on a small molecule diethylenetriaminepentaacetate (DTPA) exhibiting nonmonotonic titration curves, where it gives an excellent fit to experimental data. We demonstrate that the titration curve of a site in a group of interacting sites can be accurately reconstructed, if titration curves of the other sites are known. The application of the new framework to the protein rubredoxin demonstrates its usefulness in calculating and interpreting complicated titration curves.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 3%
Turkey 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Argentina 1 <1%
Unknown 199 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 46 22%
Student > Bachelor 38 18%
Researcher 32 15%
Professor 19 9%
Professor > Associate Professor 14 7%
Other 35 17%
Unknown 25 12%
Readers by discipline
Readers by discipline Count As %
Chemistry 75 36%
Agricultural and Biological Sciences 37 18%
Biochemistry, Genetics and Molecular Biology 25 12%
Physics and Astronomy 13 6%
Engineering 6 3%
Other 23 11%
Unknown 30 14%
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 05 May 2026.
All research outputs
#4,647,397
of 31,393,817 outputs
Outputs from Biochemistry
#1,693
of 25,247 outputs
Outputs of similar age
#6,197
of 55,491 outputs
Outputs of similar age from Biochemistry
#10
of 171 outputs
Altmetric has tracked 31,393,817 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 25,247 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 87% 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 55,491 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 171 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.