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Catalyzing separation of carbon dioxide in thiamin diphosphate‐promoted decarboxylation

2008· review· en· W1550432452 on OpenAlex
Ronald Kluger, Steven L. Rathgeber

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFEBS Journal · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical Acid Research Studies
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCarbanionChemistryDecarboxylationNucleophileCatalysisProtonationCarbon dioxideTrifluoroacetic acidPhotochemistryOrganic chemistryMedicinal chemistry

Abstract

fetched live from OpenAlex

Thiamin diphosphate-dependent decarboxylases form addition intermediates between thiamin diphosphate (ThDP) and 2-ketoacids. Although it appears that the intermediate should react without the intervention of catalysts, evidence has clearly shown that Brønsted acid catalysis occurs through a pre-associated system. This can promote separation of carbon dioxide from the residual carbanion by protonation of the carbanion. Proteins operate through pre-association and may readily promote the separation of carbon dioxide by protonating or oxidizing the nascent carbanion. Alternatively, a nucleophilic side chain may trap carbon dioxide as an unstable hemi-carbonate. Mutagenesis experiments by others have shown that enhanced activity due to the protein in the presence of thiamin diphosphate does not depend on the presence of any one proton donor, consistent with pooled activity within the active site. This form of catalysis has not been widely recognized, but should be considered an integral aspect of enzyme-promoted decarboxylation.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.899
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.349
Teacher spread0.319 · 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