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Record W2624061469

Accelerating Decarboxylation Reactions through the Formation of Bicarbonate

2016· dissertation· en· W2624061469 on OpenAlexfundno aff
Graeme W. Howe

Bibliographic record

VenueTSpace · 2016
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCompute Canada
KeywordsDecarboxylationBicarbonateChemistryOrganic chemistryCatalysis
DOInot available

Abstract

fetched live from OpenAlex

Enzyme-catalyzed decarboxylation reactions are often many orders of magnitude faster than the corresponding uncatalyzed processes. In both cases, these reactions are typically represented as the unimolecular decomposition of a carboxylate to a carbanion and CO2. Attempts to understand the catalytic proficiency of decarboxylases generally focus on enzymatic factors that would stabilize the produced carbanion and ignore the released CO2. However, earlier studies have shown that decarboxylation is slowed by internal return of the CO2-carbanion pair. This thesis illustrates how both aqueous and enzymatic decarboxylation reactions can be accelerated by producing alternatives to CO2 that decrease the extent of reversion. This work was initiated by the unexpected observation of general base catalysis in the decarboxylation of mandelylthiamin (MTh), an accurate model of the pre-decarboxylation intermediate formed on benzoylformate decarboxylase (BFDC). This catalysis is inconsistent with the direct production of CO2 from the carboxylate. Instead, detailed kinetic analysis suggests a mechanism involving hydration of the carboxylate and subsequent base-catalyzed decomposition to produce HCO3-. Computational analysis of a model decarboxylation illustrates that this hydrolytic mechanism avoids the issue of internal return. This is consistent with HCO3- being less electrophilic and more water-soluble than CO2 as these properties would facilitate the separation of the carbanion-HCO3- pair. Kinetic and computational studies were also performed with numerous structural analogues of MTh. The results indicate that the hydrolytic mechanism is facilitated by an intramolecular hydrogen bond to the carboxylate of MTh. This interaction reduces the electron density on the carboxylate carbon and promotes hydration. A serine residue (S26) in BFDC is proposed to prevent internal return by trapping the nascent CO2 as a carbonate monoester. We hypothesized that an active site water could act as a surrogate nucleophile in BFDC mutants lacking S26. This would be analogous to the hydrolytic decarboxylation of MTh, resulting in the production of HCO3- upon carbon-carbon bond cleavage. Using a coupled assay with carbonic anhydrase, a number of BFDC variants were determined to release CO2. This indicates that either CO2 is produced in these decarboxylation reactions or that bicarbonate is converted to CO2 prior to its release from the active site.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.297
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2016
Admission routes1
Has abstractyes

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