Determination of biocatalytic parameters of a copper radical oxidase using real-time reaction progress monitoring
Bibliographic record
Abstract
An Auxiliary Activity Family 5 (AA5) copper-radical alcohol oxidase (AlcOx) with promiscuous activity towards simple alkyl and aromatic alcohols was evaluated using real-time reaction progress monitoring. Reaction kinetics using variable time normalization analysis (VTNA) were determined from reaction progress curves. By this approach, a detailed view of the entire reaction time course under various conditions was obtained and used to identify parameters that will inform further process optimization development. Optimal activity was found impacted by several factors, including reaction pH, oxygen saturation, and the source of a co-oxidant, either HRP or a chemical alternative, potassium ferricyanide. Analysis of reaction progress curves demonstrated that reaction stalling occurred as a result of oxygen depletion and from a loss of enzyme activity over time. The cooperativity between AlcOx, horseradish peroxidase (HRP), and catalase that result in enhanced reactivity was explored, with reaction pH being identified as a key factor for optimal activity. The results show that a process with HRP is more robust than with potassium ferricyanide, but that both oxidants likely activate AlcOx by a similar mechanism. The phenomenon of product inhibition was investigated for representative reactants, revealing that reaction inhibition was more significant for butyraldehyde than for benzaldehyde. Our analysis suggests that this is linked to the greater proportion in which butyraldehyde exists in the hydrated form.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".