Model Peptide Studies Reveal a Mixed Histidine-Methionine Cu(I) Binding Site at the N-Terminus of Human Copper Transporter 1
Bibliographic record
Abstract
Copper is a vital metal cofactor in enzymes that are essential to myriad biological processes. Cellular acquisition of copper is primarily accomplished through the Ctr family of plasma membrane copper transport proteins. Model peptide studies indicate that the human Ctr1 N-terminus binds to Cu(II) with high affinity through an amino terminal Cu(II), Ni(II) (ATCUN) binding site. Unlike typical ATCUN-type peptides, the Ctr1 peptide facilitates the ascorbate-dependent reduction of Cu(II) bound in its ATCUN site by virtue of an adjacent HH (bis-His) sequence in the peptide. It is likely that the Cu(I) coordination environment influences the redox behavior of Cu bound to this peptide; however, the identity and coordination geometry of the Cu(I) site has not been elucidated from previous work. Here, we show data from NMR, XAS, and structural modeling that sheds light on the identity of the Cu(I) binding site of a Ctr1 model peptide. The Cu(I) site includes the same bis-His site identified in previous work to facilitate ascorbate-dependent Cu(II) reduction. The data presented here are consistent with a rational mechanism by which Ctr1 provides coordination environments that facilitate Cu(II) reduction prior to Cu(I) transport.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".