Mechanism of allosteric activation in human mitochondrial ClpP protease
Bibliographic record
Abstract
Human ClpP protease contributes to mitochondrial protein quality control by degrading misfolded proteins. ClpP is overexpressed in cancers such as acute myeloid leukemia (AML), where its inhibition leads to the accumulation of damaged respiratory chain subunits and cell death. Conversely, hyperactivating ClpP with small-molecule activators, such as the recently discovered ONC201, disrupts mitochondrial protein degradation and impairs respiration in cancer cells. Despite its critical role in human health, the mechanism underlying the structural and functional properties of human ClpP remains elusive. Notably, human ClpP is paradoxically activated by active-site inhibitors. All available structures of human ClpP published to date are in the inactive compact or compressed states, surprisingly even when ClpP is bound to an activator molecule such as ONC201. Here, we present structures of human mitochondrial ClpP in the active extended state, including a pair of structures where ClpP is bound to an active-site inhibitor. We demonstrate that amino acid substitutions in the handle region (A192E and E196R) recreate a conserved salt bridge found in bacterial ClpP, stabilizing the extended active state and significantly enhancing ClpP activity. We elucidate the ClpP activation mechanism, highlighting a hormetic effect where substoichiometric inhibitor binding triggers an allosteric transition that drives ClpP into its active extended state. Our findings link the conformational dynamics of ClpP to its catalytic function and provide high-resolution structures for the rational design of potent and specific ClpP inhibitors, with implications for targeting AML and other disorders with ClpP involvement.
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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 | 0.001 |
| 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".