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Updated: Jan 22, 2026
11:32
A Hydrogen-Deuterium Exchange Mass Spectrometry HDX-MS Platform for Investigating Peptide Biosynthetic Enzymes
Published on: May 4, 2020
8.7K
HDX-Viewer: interactive 3D visualization of hydrogen-deuterium exchange data
David Bouyssié1, Jean Lesne1, Marie Locard-Paulet1
1Institut de Pharmacologie et de Biologie Structurale, Université de Toulouse, CNRS, UPS, Toulouse, France.
Bioinformatics (Oxford, England)
|July 10, 2019
Summary
A new open-source application, HDX-Viewer, simplifies Hydrogen-Deuterium eXchange coupled to Mass Spectrometry (HDX-MS) data analysis. It bridges the gap between raw data and 3D structural visualization for biological interpretation.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Biology
Background:
- Hydrogen-Deuterium eXchange coupled to Mass Spectrometry (HDX-MS) is crucial for ligand binding and epitope mapping.
- Automated sample preparation has increased HDX-MS utility in research and biopharmaceutical industries.
- A gap exists between interpreting raw HDX-MS data and visualizing results on 3D protein structures.
Purpose of the Study:
- To develop an open-source application that streamlines HDX-MS data analysis.
- To bridge the gap between HDX-MS data interpretation and 3D structural visualization.
- To facilitate biological interpretation of HDX-MS experimental results.
Main Methods:
- Development of HDX-Viewer, a web-based application.
- Automatic incorporation of HDX-MS data from various software into PDB files.
- Integration with online 3D molecular viewers for data visualization.
Main Results:
- HDX-Viewer facilitates and accelerates HDX-MS data analysis.
- The application automatically processes and visualizes HDX-MS data on 3D structures.
- User-friendly interface simplifies complex data interpretation.
Conclusions:
- HDX-Viewer resolves the bottleneck in HDX-MS data analysis and interpretation.
- The application enhances the biological insights gained from HDX-MS experiments.
- HDX-Viewer is freely available, promoting wider adoption in research and industry.
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