Restraining Expansion of the Peak Envelope in H/D Exchange-MS and Its Application in Detecting Perturbations of Protein Structure/Dynamics
Bibliographic record
Abstract
Hydrogen/deuterium exchange (H/DX) mass spectrometry (MS) is increasingly applied to problems in protein structural biology in order to map protein dynamics and identify sites of interactions. In theory, an MS-based readout of deuterium label incorporation can overcome the concentration, size, purity, and complexity limitations inherent in NMR-based measurements of exchange; however, in practice, these advantages are reduced due to spectral interference and dilution of the sample in deuterium oxide (D 2O). In this study, we demonstrate that popular H/DX labeling strategies aggravate the interference problem and that significant recovery of spectral capacity may be achieved with a "minimalist" strategy. Simulations of peptide deuteration justify large reductions in the level of D 2O used in labeling experiments, as well as reduced numbers of peaks used in making relative labeling measurements between biochemical states of a protein. To demonstrate the utility of a minimalist approach, calmodulin was interrogated in a bottom-up H/DX-MS workflow, and sensitivity to the addition of Ca (2+) as a structural perturbation was measured as a function of % D 2O and the number of peaks used in quantitating deuteration level. It is shown that high sensitivity to change is preserved with deuteration levels of 5.0 +/- 1.1 (apo-CaM) and 1.4 +/- 1.3% (holo-CaM) using 10% D 2O in the labeling experiment. Further, only two peaks of a peptide peak distribution are needed to sensitively monitor changes in protein structure, dynamics, or both.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".