Top‐down structural analysis of posttranslationally modified proteins by Fourier transform ion cyclotron resonance‐ <scp>MS</scp> with hydrogen/deuterium exchange and electron capture dissociation
Bibliographic record
Abstract
High-resolution structural characterization of posttranslationally modified proteins represents a challenge for traditional structural biology methods such as crystallography and NMR. In this study, we have used top-down hydrogen/deuterium exchange MS (HDX-MS) with precursor ion selection and electron capture dissociation to determine the impact of oxidative modification on calmodulin (CaM) at an average resolution of 2.5 residues, with complete sequence coverage. The amide deuteration status of native CaM determined by this method correlates well with previously reported crystallographic and NMR data. In contrast, methionine oxidation caused almost complete deuteration of all residues in the protein in 10 s. The oxidative-modification-induced secondary and tertiary structure loss can be largely recovered upon calcium ligation, which also resulted in a substantial increase of amide protection in three of the four calcium-binding loops in oxidatively modified CaM (CaMox ). However, the structure of α-helix VI is not restored by cofactor binding. These results are discussed in terms of different target binding and activation capabilities displayed by CaM and CaMox . The isoform-specific top-down HDX structural analysis strategy demonstrated in this study should be readily applicable to other oxidatively modified proteins and other types of PTMs, and may help decipher the structure and function of specific protein isoforms.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".