Author

Chun‐wa Chung

GlaxoSmithKline (United Kingdom)ORCID 0000-0002-2480-3110Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Charlotte Mary DeaneiD· 2 shared Oliver M. CrookiD· 2 shared Nathan GittensiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBiochemistry

Charlotte Mary DeaneORCID

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2 papers

Recent·Most cited

BiochemistryCommunications ChemistryPeer-reviewedNov 10, 2025

Inferring residue level hydrogen deuterium exchange with ReX

Oliver M. Crook, Nathan Gittens, Chun‐wa Chung, Charlotte Mary Deane

ReX infers residue-level hydrogen deuterium exchange from HDX-MS data, showing improved performance in predicting unseen data and quantifying conformational changes in proteins.

4 citations

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsCommunications BiologyPeer-reviewedJun 15, 2022

Empirical Bayes functional models for hydrogen deuterium exchange mass spectrometry

Oliver M. Crook, Chun‐wa Chung, Charlotte Mary Deane

This paper develops an empirical Bayes functional model for HDX-MS data to improve statistical power and reduce false positives by incorporating a physical model of hydrogen deuterium exchange.

8 citations

proteomicsstatistical model

𝕏 PostBluesky