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Record W2170036411 · doi:10.1039/c0cs00113a

Hydrogen exchange mass spectrometry for studying protein structure and dynamics

2010· review· en· W2170036411 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemical Society Reviews · 2010
Typereview
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsHydrogen–deuterium exchangeChemistryMass spectrometryFragmentation (computing)Protein dynamicsProtein structureElectron-capture dissociationGas phaseMolecular dynamicsComputer scienceBiological systemNanotechnologyChemical physicsComputational chemistryTandem mass spectrometryMaterials scienceChromatographyBiochemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Hydrogen/deuterium exchange (HDX) mass spectrometry (MS) has become a key technique for monitoring structural and dynamic aspects of proteins in solution. This approach relies on the fact that exposure of a protein to D(2)O induces rapid amide H → D exchange in disordered regions that lack stable hydrogen-bonding. Tightly folded elements are much more protected from HDX, resulting in slow isotope exchange that is mediated by the structural dynamics ("breathing motions") of the protein. MS-based peptide mapping is a well established technique for measuring the mass shifts of individual protein segments. This tutorial review briefly discusses basic fundamentals of HDX/MS, before highlighting a number of recent developments and applications. Gas phase fragmentation strategies represent a promising alternative to the traditional proteolysis-based approach, but experimentalists have to be aware of scrambling phenomena that can be encountered under certain conditions. Electron-based dissociation methods provide a solution to this problem. We also discuss recent advances that facilitate the applicability of HDX/MS to membrane proteins, and to the characterization of short-lived protein folding intermediates. It is hoped that this review will provide a starting point for novices, as well as a useful reference for practitioners, who require an overview of some recent trends in HDX/MS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.321
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it