Identification and structural characterization of small-molecule inhibitors of PINK1
Bibliographic record
Abstract
Abstract Mutations in PTEN-induced putative kinase 1 (PINK1) cause early-onset autosomal recessive Parkinson’s Disease (PD). PINK1 is a Ser/Thr protein kinase which functions as a mitochondrial damage sensor and initiates mitochondrial quality control by accumulating on the damaged organelle. There, it will autophosphorylate and then phosphorylate ubiquitin chains, which in turn will recruit and activate Parkin, and E3 ubiquitin ligase also implicated in PD. Ubiquitylation of mitochondrial proteins leads to the autophagic degradation of the damaged organelle. Pharmacological modulation of PINK1 constitutes an appealing avenue to study its physiological function and develop PD therapeutics. In this study, we used a thermal shift assay to identify small-molecule inhibitors of PINK1. In vitro kinase activity assays demonstrate that these molecules are ATP competitive inhibitors that block ubiquitin phosphorylation. PRT062607 (a SYK inhibitor) is the most potent inhibitor of PINK1 in our screen and has an IC 50 of 2 μM against insect PINK1 and 1 μM in HeLa cells expressing human PINK1. The crystal structures of PINK1 in complex with PRT062607 or CYC116 reveal how the compounds interact with the ATP-binding pocket. PRT062607 notably engages with the catalytic aspartate (type-1 inhibition) and causes a destabilization of insert-2 at the autophosphorylation dimer interface. Our findings provide a scaffold for the development of more selective and potent inhibitors of PINK1 that can be used as chemical probes.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".