Zinc Binding to the NH2-terminal Domain of the Wilson Disease Copper-transporting ATPase
Bibliographic record
Abstract
Mutations in the Wilson disease copper transporting, P-type ATPase lead to the accumulation of toxic levels of copper in the liver, brain, and kidney causing extensive tissue damage and eventual death. The NH(2)-terminal domain ( approximately 70 kDa), which contains six copies of the heavy metal-associated repeat GMT/HCXXC, is also able to bind zinc. We have used circular dichroism (CD) and x-ray absorption spectroscopy (XAS) to characterize zinc binding to the NH(2)-terminal metal-binding domain. These studies have revealed that zinc is able to bind to this domain with a stoichiometry of 6:1, and upon binding, induces conformational changes in the NH(2)-terminal domain. These conformational changes are completely different from those previously observed for copper binding to the domain and lead to an overall loss of secondary structure in the domain. The XAS spectra indicate that zinc is ligated primarily by nitrogen atoms and therefore has low affinity for the heavy metal-associated repeats where copper has been shown to bind. The differences between zinc and copper binding may serve as the basis for the metal-ion mediated regulation of the ATPase in vivo.
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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) | 0.000 | 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".