Analysis of the transcarbamoylation‐dehydration reaction catalyzed by the hydrogenase maturation proteins HypF and HypE
Bibliographic record
Abstract
The hydrogenase maturation proteins HypF and HypE catalyze the synthesis of the CN ligands of the active site iron of the NiFe-hydrogenases using carbamoylphosphate as a substrate. HypE protein from Escherichia coli was purified from a transformant overexpressing the hypE gene from a plasmid. Purified HypE in gel filtration experiments behaves predominantly as a monomer. It does not contain statistically significant amounts of metals or of cofactors absorbing in the UV and visible light range. The protein displays low intrinsic ATPase activity with ADP and phosphate as the products, the apparent K(m) being 25 micro m and the k(cat) 1.7 x 10(-3) s(-1). Removal of the C-terminal cysteine residue of HypE which accepts the carbamoyl moiety from HypF affected the K(m) (47 micro m) but not significantly the k(cat) (2.1 x 10(-3) s(-1)). During the carbamoyltransfer reaction, HypE and HypF enter a complex which is rather tight at stoichiometric ratios of the two proteins. A mutant HypE variant was generated by amino acid replacements in the nucleoside triphosphate binding region, which showed no intrinsic ATPase activity. The variant was active as an acceptor in the transcarbamoylation reaction but did not dehydrate the thiocarboxamide to the thiocyanate. The results obtained with the HypE variants and also with mutant HypF forms are integrated to explain the complex reaction pattern of protein HypF.
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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 | 0.001 |
| 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".