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Structure–activity relationships of wheat flavone <i>O</i>‐methyltransferase – a homodimer of convenience

2008· article· en· W2102375182 on OpenAlexafffund
Jack A. Kornblatt, Jian‐Min Zhou, Ragai K. Ibrahim

Bibliographic record

VenueFEBS Journal · 2008
Typearticle
Languageen
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryMonomerIsothermal titration calorimetryDimerMethyltransferaseStereochemistryO-methyltransferasePterinBiochemistryMethylationEnzymeCofactorOrganic chemistryDNAPolymer

Abstract

fetched live from OpenAlex

Wheat flavone O-methyltransferase catalyzes three sequential methylations of the flavone tricetin. Like other flavonoid O-methyltransferases, the protein is a homodimer. We demonstrate, using analytical ultracentrifugation, that perchlorate dissociates the dimer into monomers. The resulting monomers retain all their catalytic capacity, including the ability to catalyze the three successive methylations. We show, using isothermal titration calorimetry, that the binding constant for S-adenosyl-L-methionine does not change significantly as the protein dissociates. The second substrate, tricetin, binds to the dimers but could not be tested with the monomers. CD, UV and fluorescence spectroscopy show that there are substantial changes in the structure of the protein as it dissociates. The fact that there are differences between the monomers and dimers even as the monomers maintain activity may be the result of the very low catalytic capacity of this enzyme. Maximal turnover numbers for the dimers and monomers are only about 6-7 per minute. Even though the binding pockets for S-adenosyl-L-methionine, tricetin, selgin and tricin are intact, selection of a catalytically competent structure may be a very slow step during catalysis.

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 score0.043
Threshold uncertainty score0.911

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)0.0010.000

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 head0.031
GPT teacher head0.234
Teacher spread0.203 · 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

Citations8
Published2008
Admission routes2
Has abstractyes

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