Molecular mechanism of copper transport in Wilson disease.
Bibliographic record
Abstract
Wilson disease is an autosomal recessive disorder of copper metabolism. The Wilson disease protein is a putative copper-transporting P-type ATPase, ATP7B, whose malfunction results in the toxic accumulation of copper in the liver and brain, causing the hepatic and/or neurological symptoms accompanying this disease. The cytosolic N-terminal domain (approximately 70 kDa) of this ATPase comprises six heavy metal-associated domains, each of which contains the conserved metal-binding motif GMTCXXC. The N-terminal domain (Wilson disease copper-binding domain [WCBD]) has been expressed, purified, and characterized using various techniques. The WCBD binds six atoms of copper in the +1 oxidation state competitively, and with a greater affinity than all other metals. The copper atom is coordinated by two cysteines in a distorted linear geometry. Copper binds the WCBD in a cooperative manner and induces secondary and tertiary conformation changes. Zinc binding to the WCBD has also been characterized by circular dichroism spectroscopy and shown to produce conformational changes that are completely different from those induced by copper. The phosphorylation/nucleotide-binding domain of ATP7B has also been expressed and characterized and shown to be capable of binding ATP but lacking ATPase activity. A peptide corresponding to the sixth transmembrane domain of ATP7B has been constructed and shown to undergo secondary conformational changes upon binding a single atom of copper. Finally, a chimeric protein consisting of the WCBD and truncated ZntA, a zinc-transporting ATPase lacking the N-terminal domain, has been constructed and analyzed for metal ion selectivity. These results suggest that the core determines the metal ion specificity of P-type ATPases, and the N-terminal metal-binding domain may play a regulatory role.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".