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Record W2036664878 · doi:10.1073/pnas.0407792102

Solution NMR-derived global fold of a monomeric 82-kDa enzyme

2005· article· en· W2036664878 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2005
Typearticle
Languageen
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMonomerNuclear magnetic resonance spectroscopyChemistryMalate synthaseEscherichia coliNMR spectra databaseResidue (chemistry)EnzymeCrystallographyBiochemistryStereochemistrySpectral lineOrganic chemistryPhysicsPolymer

Abstract

fetched live from OpenAlex

The size of proteins that can be studied by solution NMR spectroscopy has increased significantly because of recent developments in methodology. Important experiments include those that make use of approaches that increase the lifetimes of NMR signals or that define the orientation of internuclear bond vectors with respect to a common molecular frame. The advances in NMR techniques are strongly coupled to isotope labeling methods that increase sensitivity and reduce the complexity of NMR spectra. We show that these developments can be exploited in structural studies of high-molecular-weight, single-polypeptide proteins, and we present the solution global fold of the monomeric 723-residue (82-kDa) enzyme malate synthase G from Escherichia coli, which has been extensively characterized by NMR in the past several years.

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.

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 score0.036
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.031
GPT teacher head0.285
Teacher spread0.254 · 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