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Record W2436278473 · doi:10.1385/1-59259-045-4:147

Preparation and Mass Spectrometric Analysis of S-Nitrosohemoglobin

2003· review· en· W2436278473 on OpenAlexaff
Pasquale Ferranti, Gianfranco Mamone, Antonio Malorni

Bibliographic record

VenueHumana Press eBooks · 2003
Typereview
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsIONICS Mass Spectrometry (Canada)
Fundersnot available
KeywordsChemistryLabilityHomolysisOxidizing agentCovalent bondNitric oxideAqueous solutionHemeHemeproteinBiophysicsBond cleavageBiochemistryStereochemistryOrganic chemistryEnzymeCatalysisBiologyRadical

Abstract

fetched live from OpenAlex

The interaction of nitric oxide NO with proteins plays a critical role in several physiological systems extending from blood pressure regulation to neu-rotransmission , , . In addition, NO produced in infected and inflamed tissue can contribute to the process of carcinogenesis , . The targets for NO on proteins are Cys and Tyr residues and bound metals such as heme-Fe2± for a recent review see ref. , through which NO exerts its effects by covalently modifying or oxidizing critical thiols or transition metals in proteins. Although much work has been performed in characterizing the NO-Fe2± interaction ,, there is considerably less data on NO-Cys interactions. One reason is the labile nature of nitrosothiols RSNOs, which are unstable in aqueous solution. It has been assumed that the lability of RSNOs is due to their propensity to undergo homolytic cleavage of the S-N bond with release of NO .

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.000
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 head0.086
GPT teacher head0.378
Teacher spread0.292 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations4
Published2003
Admission routes1
Has abstractyes

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