Identification of Free Radicals on Hemoglobin from its Self-peroxidation Using Mass Spectrometry and Immuno-spin Trapping
Bibliographic record
Abstract
In an effort to understand the mechanism of radical formation on heme proteins, the formation of radicals on hemoglobin was initiated by reaction with hydrogen peroxide in the presence of the spin trap 5,5-dimethyl-1-pyrroline N-oxide (DMPO). The DMPO nitrone adducts were analyzed by mass spectrometry (MS) and immuno-spin trapping. The spin-trapped protein adducts were then subjected to tryptic digestion and MS analyses. When hemoglobin was reacted with hydrogen peroxide (H(2)O(2)) in the presence of DMPO, a DMPO nitrone adduct could be detected by immuno-spin trapping. To verify that DMPO adducts of the protein free radicals had been formed, the reaction mixtures were analyzed by flow injection electrospray ionization mass spectrometry (ESI/MS). The ESI mass spectrum of the hemoglobin/H(2)O(2)/DMPO sample shows one adduct each on both the alpha chain and the beta chain of hemoglobin which corresponds in mass to the addition of one DMPO molecule. The nature of the radicals formed on hemoglobin was explored using proteolysis techniques followed by liquid chromatography/mass spectrometry (LC/MS) and tandem mass spectrometry (MS/MS) analyses. The following sites of DMPO addition were identified on hemoglobin: Cys-93 of the beta chain, and Tyr-42, Tyr-24, and His-20 of the alpha chain. Because of the pi-pi interaction of Tyr-24 and His-20, the unpaired electron is apparently delocalized on both the tyrosine and histidine residue (pi-pi stacked pair radical).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".