Imidazolate‐Stabilized Cu(III): Dioxygen to Oxides at Type 3 Copper Sites
Bibliographic record
Abstract
Abstract Imidazole ligation of metals through histidine is extensive among metalloproteins, yet the role of the imidazolate conjugate base is often neglected, despite its potential accessibility when bonded to an oxidized metal center. Using synthetic models of oxygenated tyrosinase enzymes ligated exclusively by monodentate imidazoles, we find that deprotonation of the μ2‐η2:η2‐peroxidodicopper(II) species triggers redox isomerization to an imidazolate‐ligated bis(μ2‐oxido)dicopper(III) species. Formal two‐electron oxidation to Cu(III) remains biologically unprecedented, yet is effected readily by addition of base. Spectrophotometric titrations by UV/Visible/near‐IR and copper K‐edge X‐ray absorption spectroscopies are interpreted most simply as two cooperative, 2H+ transformations in which the peroxide O−O is cleaved in the first step. Elaboration from simple imidazoles to a protected histidine extends this isomerization into an amino acid environment. The role of phenolate as a base suggests this four‐electron reduction of O2 is energetically viable in a biological context and requires only two copper centers, which act as two‐electron shuttles when imidazole deprotonation assists. This existential precedent of viable imidazolate intermediates invites speculation into an alternative mechanism for phenol hydroxylation not previously considered at Type 3 copper sites such as tyrosinases. Structural biological evidence suggests imidazolate ligation of copper may be more widespread than generally understood.
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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".