Structural insights into the activation mechanism of the human zinc-activated channel
Bibliographic record
Abstract
The zinc-activated channel (ZAC) is an atypical mammalian cys-loop receptor (CLR) that is activated by zinc ions and protons, allowing cations to pass through. The molecular mechanism that ligands use to activate ZAC remains elusive. Here, we present three cryo-electron microscopy reconstructions of human ZAC (hZAC) under different conditions. These three hZAC structures display highly similar conformations to one another, forming symmetrical homo-pentamers with a central ion-conduction pore. The hZAC protomer comprises an extracellular domain (ECD) and a transmembrane domain (TMD), sharing more structural similarity with anion-permeable CLRs, such as glycine receptors and type A γ-aminobutyric acid receptors. Notably, hZAC possesses a distinctive C-tail that establishes a disulfide bond with the loop M2-M3 in the TMD and occupies what is typically the canonical neurotransmitter orthosteric site in other mammalian CLRs. Moreover, the tip of the cys-loop creates an unprecedented orthosteric site in hZAC. The binding of Zn2+ triggers a conformational shift in the cys-loop, which presumably prompts the loop M2-M3 to move and open the channel gate. This study sheds light on the assembly of the channel, its structural features, and the process of signal transduction in hZAC. ZAC is a Zn2+ and H⁺-activated cation channel. Here, the authors report the structures of human ZAC and identify an unusual C-tail that functions in auto-inhibition. This work provides insights into the gating and activation mechanisms of ZAC.
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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".