Mapping protein energy landscapes with amide hydrogen exchange and mass spectrometry: I. A generalized model for a two-state protein and comparison with experiment

Protein amide hydrogen exchange (HDX) is a convoluted process, whose kinetics is determined by both dynamics of the protein and the intrinsic exchange rate of labile hydrogen atoms fully exposed to solvent. Both processes are influenced by a variety of intrinsic and extrinsic factors. A mathematical formalism initially developed to rationalize exchange kinetics of individual amide hydrogen atoms is now often used to interpret global exchange kinetics (e.g., as measured in HDX MS experiments). One particularly important advantage of HDX MS is direct visualization of various protein states by observing distinct protein ion populations with different levels of isotope labeling under conditions favoring correlated exchange (the so-called EX1 exchange mechanism). However, mildly denaturing conditions often lead to a situation where the overall HDX kinetics cannot be clearly classified as either EX1 or EX2. The goal of this work is to develop a framework for a generalized exchange model that takes into account multiple processes leading to amide hydrogen exchange, and does not require that the exchange proceed strictly via EX1 or EX2 kinetics. To achieve this goal, we use a probabilistic approach that assigns a transition probability and a residual protection to each equilibrium state of the protein. When applied to a small protein chymotrypsin inhibitor 2, the algorithm allows complex HDX patterns observed experimentally to be modeled with remarkably good fidelity. On the basis of the model we are now in a position to begin to extract quantitative dynamic information from convoluted exchange kinetics.

Is there hydrogen scrambling in the gas phase? Energetic and structural determinants of proton mobility within protein ions

The extent of internal hydrogen exchange (scrambling) within multiply charged solvent-free protein ions was investigated using a small model protein. The site-specific backbone amide protection data were obtained using protein ion fragmentation in the gas phase and compared with the available NMR data. Only minimal scrambling was detected when relatively high-energy collisional activation was used to fragment intact protein ions, while low-energy fragmentation resulted in more significant but not random internal exchange. Increased conformational flexibility of protein ions in the gas phase did not have any effect on the extent of hydrogen scrambling under the conditions of higher-energy collisional activation but resulted in totally random redistribution of labile hydrogen atoms when the protein ion fragmentation was induced by multiple low-energy collisions.

A Chemometric Approach to Detection and Characterization of Multiple Protein Conformers in Solution Using Electrospray Ionization Mass Spectrometry

Protein ion charge state distributions in electrospray ionization mass spectra have a potential to provide a wealth of information on protein dynamics, because they contain contributions from all protein conformers present in solution. Such ionic contributions often overlap, limiting the amount of useful information that can be extracted from the spectra. This difficulty is overcome in the present work by using a chemometric approach, which allows spectral deconvolution to be carried out and information on individual protein conformers to be extracted. Experiments are carried out by acquiring a series of spectra over a range of near-native and denaturing conditions to ensure significant changes in the conformers' populations. A total number of protein conformers sampled in the course of the experiments is determined by subjecting the set of collected spectra to singular value decomposition. Ionic contributions of each conformer to the total signal are then determined using a supervised optimization routine. Validation of the method has been carried out by monitoring acid- and alcohol-induced equilibrium states of well-characterized model proteins, chymotrypsin inhibitor 2 (two states), ubiquitin (three states) and apo-myoglobin (four states). For each of the model proteins, a new chemometric procedure yielded a picture of protein dynamics that was in excellent agreement with their documented behavior (as studied with other biophysical tools). The new method appears to be well-suited for monitoring protein dynamics in highly heterogeneous systems consisting of multiple proteins sampling a range of conformational states.

Detection of multiple protein conformational ensembles in solution via deconvolution of charge-state distributions in ESI MS

Monitoring the changes in charge-state distributions of protein ions in electrospray ionization (ESI) mass spectra has become one of the commonly accepted tools to detect large-scale conformational changes of proteins in solution. However, these experiments produce only qualitative, low-resolution information. Our goal is to develop a procedure that would produce quantitative data on protein conformational isomers coexisting in solution at equilibrium. To that end, we have examined the evolution of positive ion charge-state distributions in the