MétaCan
Menu
Back to cohort
Record W2008318592 · doi:10.1021/ja0726456

Separating Degenerate <sup>1</sup>H Transitions in Methyl Group Probes for Single-Quantum <sup>1</sup>H-CPMG Relaxation Dispersion NMR Spectroscopy

2007· article· en· W2008318592 on OpenAlexaff
Vitali Tugarinov, Lewis E. Kay

Bibliographic record

VenueJournal of the American Chemical Society · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryRelaxation (psychology)Dispersion (optics)Chemical shiftDegenerate energy levelsNuclear magnetic resonance spectroscopyMagnetizationPulse sequenceMillisecondSpectroscopyMolecular physicsSpin (aerodynamics)Nuclear magnetic resonanceChemical physicsCrystallographyAtomic physicsPhysical chemistryMagnetic fieldPhysicsStereochemistryQuantum mechanicsThermodynamics

Abstract

fetched live from OpenAlex

A relaxation dispersion pulse scheme is presented for quantifying chemical exchange processes in proteins that exploits 1H chemical shifts as probes of changes in conformation. The experiment selects 1H single-quantum magnetization from the I = 1/2 manifolds of the methyl group, which behave like AX spin systems, while suppressing coherences that derive from the 3/2 manifold that are extremely sensitive to pulse imperfections and that would otherwise severely compromise the accuracy of the experiment. The utility of the sequence is first demonstrated with an application to a protein system that is known not to undergo chemical exchange and flat dispersion profiles are obtained. Subsequently, the methodology is applied to study the folding of a G48M mutant of the Fyn SH3 domain that has been shown previously to undergo exchange between folded and unfolded states on the millisecond time scale.

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)0.000
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 score0.015
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.008
GPT teacher head0.260
Teacher spread0.252 · 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

Citations35
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Chemical SocietySame topicProtein Structure and DynamicsFrench-language works237,207