Computational methods and challenges in hydrogen/deuterium exchange mass spectrometry

Area of Science:

• Biochemistry
• Analytical Chemistry
• Structural Biology

Background:

• Hydrogen/Deuterium exchange (HDX) has been an analytical tool since the 1930s.
• Protein HDX combined with mass spectrometry (MS) has grown in popularity over the last two decades.
• Technological advances in HDX-MS, including improved quenching and fragmentation, generate large, complex datasets.

Purpose of the Study:

• To provide an overview of computational methods for analyzing HDX-MS data.
• To discuss the challenges associated with computational analysis of HDX-MS data.
• To cover the typical workflow for computational analysis of protein HDX-MS data.

Main Methods:

• Review of existing computational algorithms and tools for HDX data analysis.
• Discussion of methods for peptide/fragment identification and deuteration level determination.
• Exploration of techniques for estimating hydrogen protection extent and exchange rates.

Main Results:

• Several algorithms exist, ranging from single-step analysis procedures to complete workflow tools.
• Computational analysis involves peptide identification, deuteration level determination, and protection/exchange rate estimation.
• Statistical interpretation of results is crucial for sound conclusions.

Conclusions:

• Effective computational analysis is essential for handling the complex data generated by modern HDX-MS experiments.
• Outstanding challenges in computational HDX-MS analysis require further research and development.
• The review provides a comprehensive overview to guide researchers in this field.