Structure of a Parkinson’s Disease-Involved α-Synuclein Peptide Is Modulated by Membrane Composition and Physical State
Bibliographic record
Abstract
α-Synuclein (AS), the protein responsible for Parkinson’s disease, contains a 12-residue-long sequence, AS 71–82, that is thought to play a crucial role in the α-synuclein aggregation process. Neuronal membranes are direct interacting partners of α-synuclein and play a role in fibrillogenesis by providing a charged catalytic surface, notably from anionic phospholipids. However, details are lacking regarding the impact of membrane composition and the driving forces leading to membrane anchorage and peptide structure conversion. To decipher the interplay of α-synuclein with neuronal membranes, the structure of AS 71–82 was investigated in the presence of anionic model membranes. Infrared (IR) spectroscopy and solid-state nuclear magnetic resonance data show that AS 71–82 adopts a perfectly in-register parallel β-sheet structure with fibrillar morphology upon interactions with anionic model membranes. IR thermotropism experiments conducted with several membrane compositions revealed that the phospholipids’ phase transition induces a rearrangement of the AS 71–82 β-sheet structure. In contrast, membranes are not significantly affected by the presence of AS 71–82, which advocates for the amyloid fibrils to lie loosely on the membrane surface. The results bring new arguments for the lipid-sensing capabilities of AS 71–82 and revealed its protofibrillar structure. The striking similarities between AS 71–82 and α-synuclein make it a potential good aggregation inhibitor upon chemical modifications.
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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".