The Zinc Balance: Competitive Zinc Metalation of Carbonic Anhydrase and Metallothionein 1A
Bibliographic record
Abstract
The small, cysteine-rich metallothionein family of proteins is currently considered to play a critical role in the provision of metals to metalloenzymes. However, there is limited information available on the mechanisms of these fundamentally important interactions. We report on the competitive zinc metalation of apocarbonic anhydrase in the presence of apometallothionein 1A using electrospray-ionization mass spectrometry. These experiments revealed the relative affinities of zinc to all species in solution. The carbonic anhydrase is shown to compete efficiently only against Zn5-7MT. The calculated equilibrium zinc binding constants of each of the 7 zinc metallothionein 1A species ranged from a high of (log(KF)) 12.5 to a low of 11.8. The 8 equilibrium constants connecting the 10 active species in competition for the zinc were modeled by fitting the KF values of the 8 competitive bimolecular reactions to the ESI-mass spectral data. These modeled K values are shown to be experimentally connected to the metalation efficiency of the carbonic anhydrase. The series of 7 metallothionein binding affinities for zinc highlight the buffering role of zinc metallothioneins that permit simultaneously zinc storage and zinc sensing. Finally, the significance of the multiple zinc binding affinities of zinc metallothionein is discussed in relation to zinc homeostasis.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".