Patulin Detoxification by Evolutionarily Divergent Reductases of <i>Gluconobacter oxydans</i> ATCC 621
Bibliographic record
Abstract
ATCC 621 can detoxify patulin to ascladiol using either the short-chain dehydrogenases/reductases (SDRs)─GOX0525, GOX1899, and GOX0716─or the aldo-keto reductase (AKR) GOX1462. While GOX0525 and GOX1899 have been previously characterized, this study focuses on GOX0716 and GOX1462, evaluating their optimal pH, thermostability, thermoactivity, and substrate specificity, thereby completing the characterization of all four reductases. GOX0716 and GOX1462 exhibit pH optima of 6 and 7, respectively, and are functional across a broad temperature range of 25-55 °C. GOX0716 was determined to be more thermostable than GOX1462, with a half-life of 4.95 h at 55 °C. Phylogenetic analysis revealed that these SDRs belong to distinct evolutionary families with broad substrate specificity. GOX0716 is a member of the SDR79 family, which shares a common ancestry with the SDR111 family of fungal anthrol reductases. Conversely, GOX1462 is a member of the AKR18 family, which is involved in detoxification of the mycotoxin, deoxynivalenol (DON). Molecular docking analysis of Alphafold models highlights distinct variations in the active site architectures of these SDRs and AKRs, offering insights into their differing catalytic efficiencies toward patulin.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".