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Record W2076973248 · doi:10.1074/jbc.m513893200

A Weak Fe–O Bond in the Oxygenated Complex of the Nitric-oxide Synthase of Staphylococcus aureus

2006· article· en· W2076973248 on OpenAlexaff
François Chartier, Sébastien P. Blais, Manon Couture

Bibliographic record

VenueJournal of Biological Chemistry · 2006
Typearticle
Languageen
FieldChemistry
TopicMetal-Catalyzed Oxygenation Mechanisms
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsChemistryRaman spectroscopyOxygenFerricSubstrate (aquarium)Resonance Raman spectroscopyResonance (particle physics)Analytical Chemistry (journal)CrystallographyInorganic chemistryOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Little is known about the intermediates formed during catalysis by nitric-oxide synthase (NOS). We report here the characterization by resonance Raman spectroscopy of the oxygenated complex of the NOS from Staphylococcus aureus (saNOS) as well as the kinetics of formation and decay of the complex. An oxygenated complex transiently formed after mixing reduced saNOS with oxygen and decayed to the ferric enzyme with kinetics that were dependent on the substrate L-arginine and the cofactor H(4)B. The oxygenated complex displayed a Soret absorption band centered at 430 nm. Resonance Raman spectroscopy revealed that it can be described as a ferric superoxide form (Fe(III)O(2)(-)) with a single nu(O-O) mode at 1135 cm(-1). In the presence of L-arginine, an additional nu(O-O) mode at 1123 cm(-1) was observed, indicating an increased pi back-bonding electron donation to the bound oxygen induced by the substrate. With saNOS, this is the first time that the nu(Fe-O) mode of a NOS has been observed. The low frequency of this mode, at 517 cm(-1), points to an oxygenated complex that differs from that of P450(cam). The electronic structure of the oxygenated complex and the effect of L-arginine are discussed in relation to the kinetic properties of saNOS and other NOS.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.011
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.253
Teacher spread0.222 · 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

Citations32
Published2006
Admission routes1
Has abstractyes

Explore more

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