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Record W1974115968 · doi:10.1021/bi0519809

Quantitative <sup>13</sup>C and <sup>2</sup>H NMR Relaxation Studies of the 723-Residue Enzyme Malate Synthase G Reveal a Dynamic Binding Interface

2005· article· en· W1974115968 on OpenAlexaff
Vitali Tugarinov, Lewis E. Kay

Bibliographic record

VenueBiochemistry · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMolecular dynamicsChemistryDeuteriumSide chainMalate synthaseEnzymeRelaxation (psychology)Nuclear magnetic resonance spectroscopyLigand (biochemistry)StereochemistryCrystallographyComputational chemistryBiochemistryPhysicsOrganic chemistryBiology

Abstract

fetched live from OpenAlex

A detailed understanding of molecular recognition is predicated not only on high-resolution static structures of the free and bound states but also on information about how these structures change with time, that is, molecular dynamics. Here we present a deuterium ((2)H) and carbon ((13)C) NMR relaxation study of methyl side chain dynamics in the 82 kDa enzyme malate synthase G (MSG) that is a promising target for the development of new antibiotic agents. It is shown that excellent agreement between (2)H- and (13)C-derived measures of dynamics is obtained, with correlation coefficients exceeding 0.95. The binding interface formed by MSG and its substrates is found to be highly dynamic in the ligand-free state of the enzyme with rigidification upon binding substrate. This study establishes that detailed, quantitative information about methyl side chain dynamics can be obtained by NMR on proteins with molecular masses on the order of 100 kDa and opens up the possibilities for studies of motion in a large number of important systems.

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 categoriesMeta-epidemiology (narrow)
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 score0.007
Threshold uncertainty score1.000

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 head0.011
GPT teacher head0.277
Teacher spread0.267 · 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.

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

Citations70
Published2005
Admission routes1
Has abstractyes

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