Sequencing of Argentinated Peptides by Means of Matrix-Assisted Laser Desorption/Ionization Tandem Mass Spectrometry
Bibliographic record
Abstract
Argentinated peptide ions are formed in abundance under matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) conditions in the presence of Ag+ ions. These argentinated peptide ions are fragmented facilely under MALDI-MS/MS conditions to yield [b(n) + OH + Ag]+, [b(n) - H + Ag]+ and [a(n) - H + Ag]+ ions that are indicative of the C-terminal sequence. These observations parallel those made earlier under electrospray MS conditions (Chu, I. K; Guo, X.; Lau, T.-C.; Siu, K W. M. Anal. Chem. 1999, 71, 2364-2372). A mixed protonated and argentinated tryptic peptide map was generated from 37 fmol of bovine serum albumin (BSA) using MALDI-MS. MALDI-MS/MS data from four argentinated peptides at a protein amount of 350 fmol unambiguously identified the protein as BSA. Sequence-tag analysis of two argentinated tryptic peptides was used to identify unambiguously myocyte enhancer factor 2A, which had been recombinantly expressed in a bacterial cell line.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".