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Record W1996014925 · doi:10.1073/pnas.0602310103

Complementarity of ensemble and single-molecule measures of protein motion: A relaxation dispersion NMR study of an enzyme complex

2006· article· en· W1996014925 on OpenAlexafffund
Pramodh Vallurupalli

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsCanada Research ChairsUniversity of Toronto
FundersHospital for Sick ChildrenUniversity of TorontoHarvard University
KeywordsChemistryFlavin groupFlavin adenine dinucleotideOxidoreductaseElectron transferFörster resonance energy transferProtein dynamicsFlavin mononucleotideMoleculeFluorescenceAcceptorRelaxation (psychology)CrystallographyMolecular dynamicsCofactorPhotochemistryComputational chemistryEnzymeBiochemistryBiology

Abstract

fetched live from OpenAlex

Single-molecule fluorescence experiments have shown that the conformation of the complex between Escherichia coli general NAD(P)H:flavin oxidoreductase (FRE) and flavin adenine dinucleotide (FAD) fluctuates over a range of timescales between 10(-4) and 1 s. Here we use (15)N and (13)C relaxation dispersion NMR methods to study millisecond-timescale dynamics in the complex. In this time regime, the protein is extremely flexible, with residues that undergo conformational exchange located throughout the molecule. Three distinct regions of dynamics are quantified, with two of them involving residues making contact to the donor (Tyr-35) and acceptor (FAD) sites that participate in the electron transfer reaction monitored in single-molecule experiments. Modulation of the donor-acceptor distance through these conformational exchange processes, occurring with rates of approximately 400 and 1,200 s(-1) (22 degrees C), affects the rate of electron transfer and partially accounts for the range of the observed dynamics monitored in the fluorescence experiments.

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 score0.060
Threshold uncertainty score0.190

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 head0.067
GPT teacher head0.308
Teacher spread0.241 · 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

Citations38
Published2006
Admission routes2
Has abstractyes

Explore more

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