↓ Skip to main content

A Thermodynamic Model for Interpreting Tryptophan Excitation-Energy-Dependent Fluorescence Spectra Provides Insight Into Protein Conformational Sampling and Stability

Overview of attention for article published in Frontiers in Molecular Biosciences, December 2021
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A Thermodynamic Model for Interpreting Tryptophan Excitation-Energy-Dependent Fluorescence Spectra Provides Insight Into Protein Conformational Sampling and Stability
Published in
Frontiers in Molecular Biosciences, December 2021
DOI 10.3389/fmolb.2021.778244
Pubmed ID
Authors

A Kwok, IS Camacho, S Winter, M Knight, RM Meade, MW Van der Kamp, A Turner, J O’Hara, JM Mason, AR Jones, VL Arcus, CR Pudney

Abstract

It is now over 30 years since Demchenko and Ladokhin first posited the potential of the tryptophan red edge excitation shift (REES) effect to capture information on protein molecular dynamics. While there have been many key efforts in the intervening years, a biophysical thermodynamic model to quantify the relationship between the REES effect and protein flexibility has been lacking. Without such a model the full potential of the REES effect cannot be realized. Here, we present a thermodynamic model of the tryptophan REES effect that captures information on protein conformational flexibility, even with proteins containing multiple tryptophan residues. Our study incorporates exemplars at every scale, from tryptophan in solution, single tryptophan peptides, to multitryptophan proteins, with examples including a structurally disordered peptide, de novo designed enzyme, human regulatory protein, therapeutic monoclonal antibodies in active commercial development, and a mesophilic and hyperthermophilic enzyme. Combined, our model and data suggest a route forward for the experimental measurement of the protein REES effect and point to the potential for integrating biomolecular simulation with experimental data to yield novel insights.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Student > Doctoral Student 2 18%
Unspecified 1 9%
Lecturer 1 9%
Professor 1 9%
Other 1 9%
Unknown 3 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Chemistry 2 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Unspecified 1 9%
Engineering 1 9%
Other 0 0%
Unknown 3 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 December 2021.
All research outputs
#7,362,124
of 22,684,168 outputs
Outputs from Frontiers in Molecular Biosciences
#679
of 3,699 outputs
Outputs of similar age
#163,716
of 496,343 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#58
of 380 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,699 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 80% 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 496,343 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 66% of its contemporaries.
We're also able to compare this research output to 380 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.