Empirical Bayes functional models for hydrogen deuterium exchange mass spectrometry.

ABSTRACT: Hydrogen deuterium exchange mass spectrometry (HDX-MS) is a technique to explore differential protein structure by examining the rate of deuterium incorporation for specific peptides. This rate will be altered upon structural perturbation and detecting significant changes to this rate requires a statistical test. To determine rates of incorporation, HDX-MS measurements are frequently made over a time course. However, current statistical testing procedures ignore the correlations in the temporal dimension of the data. Using tools from functional data analysis, we develop a testing procedure that explicitly incorporates a model of hydrogen deuterium exchange. To further improve statistical power, we develop an empirical Bayes version of our method, allowing us to borrow information across pe

SUBMITTER: Crook OM 

PROVIDER: S-EPMC9200815 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature