Directed Evolution of a Ring-cleaving Dioxygenase for Polychlorinated Biphenyl Degradation
Bibliographic record
Abstract
DoxG, an extradiol dioxygenase involved in the aerobic catabolism of naphthalene, possesses a weak ability to cleave 3,4-dihydroxybiphenyls (3,4-DHB), critical polychlorinated biphenyl metabolites. A directed evolution strategy combining error-prone PCR, saturation mutagenesis, and DNA shuffling was used to improve the polychlorinated biphenyl-degrading potential of DoxG. Screening was facilitated through analysis of filtered, digital imaging of plated colonies. A simple scheme, which is readily adaptable to other activities, enabled the screening of >10(5) colonies/h. The best variant, designated DoxGSMA2, cleaved 3,4-DHB with an apparent specificity constant of 2.0 +/- 0.3 x 10(6) m(-1) s(-1), which is 770 times that of wild-type (WT) DoxG. The specificities of DoxGSMA2 for 1,2-DHN and 2,3-DHB were increased by 6.7-fold and reduced by 2-fold, respectively, compared with the WT enzyme. DoxGSMA2 contained three substituted residues with respect to the WT enzyme: L190M, S191W, and L242S. Structural data indicate that the side chains of residues 190 and 242 occur on opposite walls of the substrate binding pocket and may interact directly with the distal ring of 3,4-DHB or influence contacts between this substrate and other residues. Thus, the introduction of two bulkier residues on one side of the substrate binding pocket and a smaller residue on the other may reshape the binding pocket and alter the catalytically relevant interactions of 3,4-DHB with the enzyme and dioxygen. Kinetic analyses reveal that the substitutions are anti-cooperative.
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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) | 0.001 | 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 | 0.001 |
| 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".