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Record W1978539412 · doi:10.1021/jp908731f

Active-Site Dynamics and Large-Scale Domain Motions of Sulfite Oxidase: A Molecular Dynamics Study

2010· article· en· W1978539412 on OpenAlexafffund
M. Jake Pushie, Graham N. George

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2010
Typearticle
Languageen
FieldEnergy
TopicMetalloenzymes and iron-sulfur proteins
Canadian institutionsUniversity of Saskatchewan
FundersCanadian Institutes of Health Research
KeywordsSulfite oxidaseMolecular dynamicsElectron transferActive siteChemistrySulfiteIntramolecular forceMolybdenumDomain (mathematical analysis)Chemical physicsBiophysicsCrystallographyStereochemistryEnzymeComputational chemistryPhotochemistryInorganic chemistryBiochemistryBiology

Abstract

fetched live from OpenAlex

The physiologically vital enzyme sulfite oxidase employs rapid intramolecular electron transfer between a molybdenum ion in the C-terminal domain (the site of sulfite oxidation) and a heme moeity in the N-terminal domain to complete its catalytic cycle. Crystal structures of the enzyme show C- and N-terminal domain orientations that are not consistent with rapid intramolecular electron transfer. Domain motion has been postulated to explain this discrepancy. In the present work we employ molecular dynamics simulations to understand the large-scale domain motions of the enzyme. We observe motion of the N-terminal domain into an orientation similar to that postulated for rapid electron transfer. Our simulations also probe the dynamics of the active site and surrounding residues, adding a further level of structural and thermodynamic detail in understanding sulfite oxidase function.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.004
GPT teacher head0.225
Teacher spread0.221 · 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 designSimulation or modeling
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

Citations24
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Physical Chemistry BSame topicMetalloenzymes and iron-sulfur proteinsFrench-language works237,207