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Record W1988987892 · doi:10.1074/jbc.m310359200

Reversal of Cyanide Inhibition of Cytochrome c Oxidase by the Auxiliary Substrate Nitric Oxide

2003· article· en· W1988987892 on OpenAlexaff
Linda L. Pearce, Emile L. Bominaar, Bruce C. Hill, Jim Peterson

Bibliographic record

VenueJournal of Biological Chemistry · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHemoglobin structure and function
Canadian institutionsQueen's University
Fundersnot available
KeywordsCytochrome c oxidaseCyanideChemistrySubstrate (aquarium)Nitric oxideElectron Transport Complex IVBiochemistryOxidase testCytochromeEnzymeInorganic chemistryOrganic chemistryBiologyEcology

Abstract

fetched live from OpenAlex

Nitric oxide (NO) is shown to overcome the cyanide inhibition of cytochrome c oxidase in the presence of excess ferrocytochrome c and oxygen. Addition of NO to the partially reduced cyanide-inhibited form of the bovine enzyme is shown by electron paramagnetic resonance spectroscopy to result in substitution of cyanide at ferriheme a3 by NO with reduction of the heme. The resulting nitrosylferroheme a3 is a 5-coordinate structure, the proximal bond to histidine having been broken. NO does not simply act as a reversibly bound competitive inhibitor but is an auxiliary substrate consumed in a catalytic cycle along with ferrocytochrome c and oxygen. The implications of this observation with regard to estimates of steady-state NO levels in vivo is discussed. Given the multiple sources of NO available to mitochondria, the present results appear to explain in part some of the curious biomedical observations reported by other laboratories; for example, the kidneys of cyanide poisoning victims surprisingly exhibit no significant irreversible damage, and lethal doses of potassium cyanide are able to inhibit cytochrome c oxidase activity by only approximately 50% in brain mitochondria.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.011
GPT teacher head0.224
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), 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

Citations95
Published2003
Admission routes1
Has abstractyes

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