Characterization of Hydrolytic Dehalogenases: Substrate Specificity and Isotope Fractionation
Bibliographic record
Abstract
The first project is focused on kinetic analysis of two enzymes: Rsc1362 (Ralstonia solanacearum GMI1000) and PA0810 (Pseudomonas aeruginosa PA01). Rsc1362 had a kcat of 504±66 min-1 and a KM of 0.06±0.02 mM, PA0810 had a kcat of 2.6±0.6 min-1 and a KM of 0.44±0.2 mM. A lack of environmental context for a chloroacetate dehalogenase was noted in Pseudomonas aeruginosa PA01. The second project focuses on kinetic and stable isotope fractionation of 1,2- dichloroethane by DhlA (Xanthobacter autotrophicus GJ10), and Jann2620 (Jannaschia CCS1). Although both enzymes had different kinetics (DhlA: KM = 4.8±0.6 mM and kcat = 133±8 min-1, Jann2620: KM = 25.9±2.3 mM and kcat = ~1.7 min-1), they fractionated similarly (ε values of -33.9‰ and -32.9‰ for DhlA and Jann2620, respectively). As calculated AKIE values were similar to the expected values of an abiotic reaction, it was determined that neither enzyme masks the intrinsic fractionation.
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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 | 0.001 |
| 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) | 0.001 | 0.001 |
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.
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".