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High-Resolution Mass Spectrometry (HRMS)01:15

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The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
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Updated: May 21, 2025

A Hydrogen-Deuterium Exchange Mass Spectrometry HDX-MS Platform for Investigating Peptide Biosynthetic Enzymes
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HRaDeX: R Package and Web Server for Computing High-Resolution Deuterium Uptake Rates for HDX-MS Data.

Weronika Puchała1, Michał Kistowski1, Liliya Zhukova1

  • 1Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw 02-106, Poland.

Journal of Proteome Research
|March 19, 2025
PubMed
Summary
This summary is machine-generated.

We developed HRaDeX, a computational method improving protein dynamics analysis using hydrogen-deuterium exchange mass spectrometry (HDX-MS). This high-resolution technique overcomes limitations of peptide averaging, offering precise deuterium uptake kinetics.

Keywords:
HDX–MShydrogen−deuterium exchangestructural proteomicsweb server

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Hydrogen-deuterium exchange mass spectrometry (HDX-MS) is crucial for studying protein dynamics and stability.
  • Current HDX-MS methods require proteolytic digestion, leading to averaged data over peptide fragments, limiting residue-level insights.
  • This averaging obscures detailed information about local protein unfolding events.

Purpose of the Study:

  • To introduce a novel computational method, HRaDeX, for high-resolution deuterium uptake kinetic parameter determination.
  • To overcome the limitations of peptide averaging in conventional HDX-MS analysis.
  • To provide a tool for analyzing superimposed peptide deuterium uptake trajectories for enhanced protein structure insights.

Main Methods:

  • Development of the HRaDeX computational algorithm.
  • Processing of deuterium uptake trajectories from superimposed peptides.
  • Validation using eight benchmark HDX-MS data sets, covering single-state and comparative studies.
  • Implementation as a user-friendly web server and an R package.

Main Results:

  • HRaDeX provides high-resolution deuterium uptake kinetic parameters.
  • The method successfully analyzes superimposed peptide data for improved accuracy.
  • Benchmark data analysis showed an average root-mean-square error of 7.15% in reconstituting experimental deuterium uptake curves.
  • The algorithm demonstrates robust performance across diverse HDX-MS datasets.

Conclusions:

  • HRaDeX significantly enhances the resolution and accuracy of HDX-MS data analysis.
  • The computational approach effectively addresses the limitations of proteolytic digestion and peptide averaging.
  • HRaDeX offers a valuable tool for detailed investigation of protein dynamics and stability at a near-residue level.