Selectivity of Metal Binding and Metal-Induced Stability of <i>Escherichia coli</i> NikR
Why this work is in the frame
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Bibliographic record
Abstract
NikR from Escherichia coli is a nickel-responsive transcription factor that regulates the expression of a nickel ion transporter. Metal analysis reveals that NikR can bind a variety of divalent transition metals, including Ni(II), Cu(II), Zn(II), Co(II), and Cd(II). The selectivity of metal binding to NikR was investigated by using electronic absorption spectroscopy and small-molecule competitors. The relative affinities, Mn(II) < Co(II) < Ni(II) < Cu(II) > or = Zn(II), follow the Irving-Williams series of metal-complex stabilities. Similar metal affinities were measured for the isolated metal-binding domain of NikR. To determine if any of these metal ions confer a differential effect on NikR, the stability of the metal-bound complexes was examined. In both thermal and chemical denaturation experiments, nickel binding stabilizes the protein more than any of the other metals tested. Thermal denaturation experiments indicate that metal dissociation occurs after loss of secondary structure, but there was no evidence for metal binding to unfolded protein following reversible chemical denaturation. These experiments demonstrate that, although several different metals can bind to NikR, nickel exerts a selective allosteric effect. The implications of these experiments on the in vivo role of NikR as a nickel metalloregulator are discussed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it