Purification and characterization of a novel nitrile hydratase from <i>Rhodococcus</i> sp. RHA1
Bibliographic record
Abstract
The microbial degradation of nitriles is of interest for bioremediation and green chemistry. We demonstrated that the soil bacterium Rhodococcus sp. RHA1 utilizes a range of nitriles, including acetonitrile, as growth substrates. Proteomic analysis identified 13 proteins that were more abundant in acetonitrile-grown cells, including an aliphatic amidase and a protein with no known homologue. Purification of a nitrile hydratase (NHase) from acetonitrile-grown cells identified the unknown protein as the beta subunit of a two-subunit NHase. Sequence analysis revealed that the genes encoding the amidase (anhC) and the NHase (anhAB) occur in a 12.8 kbp cluster located on plasmid pRHL2. The anh gene cluster also encodes an acetyl-CoA hydrolase, transcriptional regulators, a putative cobalt transporter and a protein of unknown function. Striking features of the NHase include the amino acid sequence identity (32%) and large size (63 and 56 kDa) of the alpha and beta subunits, as well as the enzyme's metal ion content (one cobalt, two copper and one zinc). The enzyme possessed similar specificities for acetonitrile and propionitrile (k(cat)/K(m) approximately 7 mM(-1) s(-1)) followed by acrylonitrile and butyronitrile. We propose that this acetonitrile hydratase (ANHase) represents the first member of a previously unknown class of NHases.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".