Combining HD exchange and ESI-FAIMS-MS for detecting gas-phase conformers of equine cytochrome c
Bibliographic record
Abstract
Conformers of equine cytochrome c were investigated in the gas phase using a combination of high-field asymmetric waveform ion mobility spectrometry (FAIMS) and hydrogendeuterium (HD) exchange. Electrospray generated ions of equine cytochrome c were exposed to a low concentration of D 2 O vapour while being transported by a flow of nitrogen through a FAIMS device. During this transport period of about 250 ms in the FAIMS analyzer, the various conformers of multiply charged ions of cytochrome c were simultaneously undergoing HD exchange and being separated from each other. The extent of HD exchange was calculated from the observed m/z of conformers after exposure to D 2 O vapour in FAIMS. The complementary nature of these two methods resulted in observations supporting a greater number of conformers (e.g., at least 11 conformers were identified for the +16 charge state) than would be expected by analyzing the FAIMS data and the HD exchange data independently.Key words: FAIMS, HD exchange, mass spectrometry, protein conformations, electrospray ionization.
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 | 0.001 |
| 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 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".