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Record W2034747589 · doi:10.1089/152308601750100704

Inhibition of Peroxynitrite-Induced Dityrosine Formation with Oxidized and Reduced Thiols, Nitric Oxide Donors, and Purine Derivatives

2001· article· en· W2034747589 on OpenAlexaff
Péter Ferdinandy, Richard Schulz

Bibliographic record

VenueAntioxidants and Redox Signaling · 2001
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPeroxynitriteNitric oxideChemistrySuperoxideNitrotyrosinePurineBiochemistryPeroxynitrous acidNitrationNitric oxide synthaseEnzymeOrganic chemistry

Abstract

fetched live from OpenAlex

Peroxynitrite, formed by the combination of superoxide anion and nitric oxide, is a powerful oxidant at physiological pH and is apparently involved in the pathogenesis of several human diseases. Therefore, inhibitors of peroxynitrite-induced oxidation are important targets for pharmaceutical development. The reaction of peroxynitrite with L-tyrosine, one of its biological targets, yields stable products, including nitrotyrosine and dityrosine. Here we test the ability of thiols, nitric oxide donors, and purine derivatives to inhibit peroxynitrite-induced dityrosine formation in a physiological buffer containing bicarbonate/CO2. We show that both reduced and oxidized thiols, nitric oxide donors, and urate, but not other purine derivatives, reduce peroxynitrite-induced dityrosine formation.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.248
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2001
Admission routes1
Has abstractyes

Explore more

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