DXMSMS Match Program for Automated Analysis of LC‐MS/MS Data Obtained Using Isotopically Coded CID‐Cleavable Cross‐Linking Reagents
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.
Bibliographic record
Abstract
Cross-linking combined with mass spectrometry for the study of proteins and protein complexes is greatly facilitated by the use of isotopically coded cleavable cross-linking reagents. The isotopic coding of the cross-linker enables confident detection of the cross-link signals, while cleavage of the cross-linker provides masses of the individual peptides composing the cross-link and, therefore, facilitates unambiguous assignment of the cross-links. Here, we describe the DXMSMS Match program, designed for automatic analysis of LC-MS/MS mass spectrometric data obtained with isotopically coded CID-cleavable cross-linkers. The program verifies the assignments of the cross-links by precursor mass and by inspection of the MS/MS spectra for the fragments and the cleavage products of the cross-linked peptides. The program produces nonprobabilistic scores for matching the spectra to the theoretical fragmentation of the cross-links and a visual interface for the validation of the mass spectral matches.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it