Metal Binding Activity of the <i>Escherichia coli</i> Hydrogenase Maturation Factor HypB
Bibliographic record
Abstract
The formation of the [NiFe] metallocenter of Escherichia coli hydrogenase 3 requires the participation of proteins encoded by the hydrogenase pleiotropy operon hypABCDEF. The insertion of Ni(II) into the precursor enzyme follows the incorporation of the iron center and is the function of HypA, a Zn(II)-binding protein, and HypB, a GTPase. The Ni(II) donor and the mechanism of transfer of Ni(II) into the hydrogenase precursor protein are not known. In this study, we demonstrate that HypB is a nickel-binding protein capable of binding 1 equiv of Ni(II) with a K(d) in the sub-picomolar range. In addition, HypB has a weaker metal-binding site that is not specific for Ni(II) over Zn(II). Examination of the isolated C-terminal GTPase domain revealed that the high-affinity metal binding capability was severely abrogated but the low-affinity site was intact. By mutating conserved cysteine and histidine residues in E. coli HypB, we have localized the high-affinity Ni(II)-binding site to an N-terminal CXXCGC motif and the low-affinity metal-binding site to the GTPase domain. A model for the function of HypB during the Ni(II) loading of hydrogenase is proposed.
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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) | 0.001 | 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".